Freq_HAL

Freq_HAL

Source

ELP

Name in Source Database

Log_Freq_HAL

Definition

Log10 version of frequency norms based on the Hyperspace Analogue to Language (HAL) corpus.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Lund, K. and C. Burgess (1996). "Producing high-dimensional semantic spaces from lexical co-occurrence." Behavior Research Methods, Instruments, & Computers 28(2): 203-208.

Freq_KF

Freq_KF

Source

ELP

Name in Source Database

Freq_KF

Definition

Log10 version of frequency norms based on the Kucera and Francis corpus.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Kučera, H. and W. N. Francis (1967). Computational analysis of present-day American English, Brown University Press.

Freq_SUBTLEXUS

Freq_SUBTLEXUS

Source

SUBTLEX-US

Name in Source Database

Lg10WF

Definition

Log10 version of frequency norms based on the SUBTLEXus corpus.

Number of Items

74286

URL

https://www.ugent.be/pp/experimentele-psychologie/en/research/documents/subtlexus

Citation

Brysbaert, M. and B. New (2009). "Moving beyond Kučera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English." Behavior Research Methods41(4): 977-990.

Freq_SUBTLEXUS_Zipf

Freq_SUBTLEXUS_Zipf

Source

SUBTLEX-US

Name in Source Database

Zipf-value

Definition

A standardized version of Freq_SUBTLEXUS that can be interpreted independently of the corpus size. Calculated as log10((frequency count+1)/(size of corpus+num of word types)) + 3.

Number of Items

74286

URL

https://www.ugent.be/pp/experimentele-psychologie/en/research/documents/subtlexus

Citation

Brysbaert, M. and B. New (2009). "Moving beyond Kučera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English." Behavior Research Methods41(4): 977-990. Van Heuven, W. J., et al. (2014). "SUBTLEX-UK: A new and improved word frequency database for British English." Quarterly Journal of Experimental Psychology 67(6): 1176-1190.

Freq_SUBTLEXUK

Freq_SUBTLEXUK

Source

SUBTLEX-UK

Name in Source Database

FreqCount (Log10 of this variable is reported)

Definition

Log10 version of the frequency norms based on SUBTLEXuk corpus.

Number of Items

160024

URL

https://psychology.nottingham.ac.uk/subtlex-uk/

Citation

Van Heuven, W. J., et al. (2014). "SUBTLEX-UK: A new and improved word frequency database for British English." Quarterly Journal of Experimental Psychology67(6): 1176-1190.

Freq_SUBTLEXUK_Zipf

Freq_SUBTLEXUK_Zipf

Source

SUBTLEX-UK

Name in Source Database

LogFreq(Zipf)

Definition

A standardized version of Freq_SUBTLEXUK that can be interpreted independently of the corpus size. Calculated as log10((frequency count+1)/(size of corpus+num of word types)) + 3.

Number of Items

160024

Citation

Van Heuven, W. J., et al. (2014). "SUBTLEX-UK: A new and improved word frequency database for British English." Quarterly Journal of Experimental Psychology67(6): 1176-1190.

Freq_Blog

Freq_Blog

Source

Worldlex

Name in Source Database

BlogFreq

Definition

Log10 version of the frequency norms based on sources from blogs.

Number of Items

725981

URL

http://www.lexique.org/?page_id=250

Citation

Gimenes, M. and B. New (2016). "Worldlex: Twitter and blog word frequencies for 66 languages." Behavior Research Methods48(3): 963-972.

Freq_Twitter

Freq_Twitter

Source

Worldlex

Name in Source Database

TwitterFreq

Definition

Log10 version of the frequency norms based on sources from Twitter.

Number of Items

725981

URL

http://www.lexique.org/?page_id=250

Citation

Gimenes, M. and B. New (2016). "Worldlex: Twitter and blog word frequencies for 66 languages." Behavior Research Methods48(3): 963-972.

Freq_News

Freq_News

Source

Worldlex

Name in Source Database

NewsFreq

Definition

Log10 version of the frequency norms based on sources from newspapers.

Number of Items

725981

URL

http://www.lexique.org/?page_id=250

Citation

Gimenes, M. and B. New (2016). "Worldlex: Twitter and blog word frequencies for 66 languages." Behavior Research Methods48(3): 963-972.

Freq_Cob

Freq_Cob

Source

CELEX

Name in Source Database

CobLog

Definition

Log10 of word frequencies in English based on COBUILD corpus.

Number of Items

89384

URL

http://celex.mpi.nl/

Citation

Baayen, R. H., et al. (1996). "The CELEX lexical database (cd-rom)."

Freq_CobW

Freq_CobW

Source

CELEX

Name in Source Database

English Wordforms: CobWLog

Definition

Log10 of word frequencies in written English based on COBUILD corpus.

Number of Items

89384

URL

http://celex.mpi.nl/

Citation

Baayen, R. H., et al. (1996). "The CELEX lexical database (cd-rom)."

Freq_CobS

Freq_CobS

Source

CELEX

Name in Source Database

English Wordforms: CobSLog

Definition

Log10 of word frequencies in spoken English based on COBUILD corpus.

Number of Items

89384

URL

http://celex.mpi.nl/

Citation

Baayen, R. H., et al. (1996). "The CELEX lexical database (cd-rom)."

Freq_Cob_Lemmas

Freq_Cob_Lemmas

Source

CELEX

Name in Source Database

English Lemmas: CobLog

Definition

Log10 of lemma frequencies in English based on COBUILD corpus.

Number of Items

89384

URL

http://celex.mpi.nl/

Citation

Baayen, R. H., et al. (1996). "The CELEX lexical database (cd-rom)."

Freq_CobW_Lemmas

Freq_CobW_Lemmas

Source

CELEX

Name in Source Database

English Lemmas: CobWLog

Definition

Log10 of lemma frequencies in written English based on COBUILD corpus.

Number of Items

89384

URL

http://celex.mpi.nl/

Citation

Baayen, R. H., et al. (1996). "The CELEX lexical database (cd-rom)."

Freq_CobS_Lemmas

Freq_CobS_Lemmas

Source

CELEX

Name in Source Database

English Lemmas: CobSLog

Definition

Log10 of lemma frequencies in spoken English based on COBUILD corpus.

Number of Items

89384

URL

http://celex.mpi.nl/

Citation

Baayen, R. H., et al. (1996). "The CELEX lexical database (cd-rom)."

CD_SUBTLEXUS

CD_SUBTLEXUS

Source

SUBTLEX-US

Name in Source Database

Lg10CD

Definition

Log10 version of the contextual diversity of a word, which refers to the number of passages (documents) in the SUBTLEXus corpus containing a particular word.

Number of Items

74286

URL

https://www.ugent.be/pp/experimentele-psychologie/en/research/documents/subtlexus

Citation

Brysbaert, M. and B. New (2009). "Moving beyond Kučera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English." Behavior Research Methods41(4): 977-990.

CD_SUBTLEXUK

CD_SUBTLEXUK

Source

SUBTLEX-UK

Name in Source Database

CD (Log10 of this variable is reported)

Definition

Log10 version of the contextual diversity of a word, which refers to the number of passages (documents) in the SUBTLEXuk corpus containing a particular word.

Number of Items

160024

URL

https://psychology.nottingham.ac.uk/subtlex-uk/

Citation

Van Heuven, W. J., et al. (2014). "SUBTLEX-UK: A new and improved word frequency database for British English." Quarterly Journal of Experimental Psychology67(6): 1176-1190.

CD_Blog

CD_Blog

Source

Worldlex

Name in Source Database

BlogCD

Definition

Log10 version of the contextual diversity of a word, which refers to the number of passages (documents) in the sources from Blog containing a particular word.

Number of Items

725981

URL

http://www.lexique.org/?page_id=250

Citation

Gimenes, M. and B. New (2016). "Worldlex: Twitter and blog word frequencies for 66 languages." Behavior Research Methods48(3): 963-972.

CD_Twitter

CD_Twitter

Source

Worldlex

Name in Source Database

TwitterCD

Definition

Log10 version of the contextual diversity of a word, which refers to the number of passages (documents) in the sources from Twitter containing a particular word.

Number of Items

725981

URL

http://www.lexique.org/?page_id=250

Citation

Gimenes, M. and B. New (2016). "Worldlex: Twitter and blog word frequencies for 66 languages." Behavior Research Methods48(3): 963-972.

CD_News

CD_News

Source

Worldlex

Name in Source Database

NewsCD

Definition

Log10 version of the contextual diversity of a word, which refers to the number of passages (documents) in the sources from newspapers containing a particular word.

Number of Items

725981

URL

http://www.lexique.org/?page_id=250

Citation

Gimenes, M. and B. New (2016). "Worldlex: Twitter and blog word frequencies for 66 languages." Behavior Research Methods48(3): 963-972.

Fam_Glasgow

Fam_Glasgow

Source

Glasgow

Name in Source Database

FAM

Definition

A word’s subjective familiarity on a 1 (unfamiliar) to 7 (familiar) scale.

Number of Items

4683

URL

https://link.springer.com/article/10.3758%2Fs13428-018-1099-3#Sec13

Citation

Scott, G. G., et al. (2019). "The Glasgow Norms: Ratings of 5,500 words on nine scales." Behavior Research Methods51(3): 1258-1270.

Fam_Brys

Fam_Brys

Source

Brysbaert14

Name in Source Database

Percent_known

Definition

Percentage of participants who know the word well enough to give answer for the concreteness rating.

Number of Items

39954

URL

https://link.springer.com/article/10.3758/s13428-013-0403-5#Sec10

Citation

Brysbaert, M., et al. (2014). "Concreteness ratings for 40 thousand generally known English word lemmas." Behavior Research Methods46(3): 904-911.

Prevalence_Brys

Prevalence_Brys

Source

Brysbaert19

Name in Source Database

Prevalence

Definition

The proportion of people who know the word, in which participants were asked to indicate whether or not they knew the stimulus in a list of words and nonwords, in an online crowdsourcing study. Percentages were translated to z values on the the basis of cumulative normal distribution. A word known by 2.5% of the participants corresponds to a word prelevance of -1.96; a word known by 97.5% of the participants corresponds to a prevalence of +1.96.

Number of Items

61855

URL

https://osf.io/g4xrt/.

Citation

Brysbaert, M., et al. (2019). "Word prevalence norms for 62,000 English lemmas." Behavior Research Methods51(2): 467-479.

AoA_Kuper

AoA_Kuper

Source

Kuperman12

Name in Source Database

Age_Of_Acquisition

Definition

The age at which people acquired the word, in which participants were asked to enter the age (in years) at which they thought they had learned the word.

Number of Items

31104

Citation

Kuperman, V., et al. (2012). "Age-of-acquisition ratings for 30,000 English words." Behavior Research Methods44(4): 978-990.

AoA_LWV

AoA_LWV

Source

Brysbaert17

Name in Source Database

AoA

Definition

The age at which people acquired the word, in which a three-choice test was administered to participants in grades 4 to 16 (college) (Living Word Vocabulary database).

Number of Items

20004

URL

https://osf.io/vqe2g/

Citation

Brysbaert, M. (2017). "Age of acquisition ratings score better on criterion validity than frequency trajectory or ratings “corrected” for frequency." Quarterly Journal of Experimental Psychology70(7): 1129-1139. Dale, E. and J. O’Rourke (1981). The Living Word Vocabulary. Chicago: World Book-Childcraft International, Inc.

AoA_Glasgow

AoA_Glasgow

Source

Glasgow

Name in Source Database

AOA

Definition

Rated age of acquisition, which indicates the age at which people acquired the word on 1 (early) to 7 (late) scale.

Number of Items

4683

URL

https://link.springer.com/article/10.3758%2Fs13428-018-1099-3#Sec13

Citation

Scott, G. G., et al. (2019). "The Glasgow Norms: Ratings of 5,500 words on nine scales." Behavior Research Methods51(3): 1258-1270.

Freqtraj_TASA

Freqtraj_TASA

Source

Brysbaert17

Name in Source Database

Freqtraj

Definition

How experience with a word is distributed over time based on the TASA corpus. It was computed by first taking logarithms of the frequencies and then transforming them to z-values for low (first three grades) and high grades (last three grades) respectively.

Number of Items

19463

URL

https://osf.io/vqe2g/

Citation

Brysbaert, M. (2017). "Age of acquisition ratings score better on criterion validity than frequency trajectory or ratings “corrected” for frequency." Quarterly Journal of Experimental Psychology70(7): 1129-1139.

Cumfreq_TASA

Cumfreq_TASA

Source

Brysbaert17

Name in Source Database

Cumfreq

Definition

Total amount of exposure to a word across time based on the TASA corpus. It was computed by first taking logarithms of the frequencies, transforming them to z-values and then obtaining the sum of the z-values.

Number of Items

19463

URL

https://osf.io/vqe2g/

Citation

Brysbaert, M. (2017). "Age of acquisition ratings score better on criterion validity than frequency trajectory or ratings “corrected” for frequency." Quarterly Journal of Experimental Psychology70(7): 1129-1139.

DPoS_Brys

DPoS_Brys

Source

SUBTLEX-US

Name in Source Database

Dom_PoS_SUBTLEX

Definition

The dominant grammatical category to which a word is assigned in accordance with its syntactic functions.

Number of Items

74095

URL

https://www.ugent.be/pp/experimentele-psychologie/en/research/documents/subtlexus

Citation

Brysbaert, M., et al. (2012). "Adding part-of-speech information to the SUBTLEX-US word frequencies." Behavior Research Methods44(4): 991-997.

DPoS_VanH

DPoS_VanH

Source

SUBTLEX-UK

Name in Source Database

DomPoS

Definition

The dominant grammatical category to which a word is assigned in accordance with its syntactic functions.

Number of Items

160024

URL

https://psychology.nottingham.ac.uk/subtlex-uk/

Citation

Van Heuven, W. J., et al. (2014). "SUBTLEX-UK: A new and improved word frequency database for British English." Quarterly Journal of Experimental Psychology67(6): 1176-1190.

SCOPE_ID

SCOPE_ID

Source

SCOPE

Name in Source Database

SCOPE_ID

Definition

Unique ID for each word. This is the same as ELP ID whenever the word/nonword is in the ELP database.

Number of Items

Unlimited

Citation

NA

ELP_ID

ELP_ID

Source

ELP

Name in Source Database

NA

Definition

Unique ID for each word from the ELP database.

Number of Items

Unlimited

Citation

NA

NLett

NLett

Source

NA

Name in Source Database

NA

Definition

Number of letters in a word.

Number of Items

Unlimited

Citation

NA

UnigramF_Avg_C

UnigramF_Avg_C

Source

MCWord

Name in Source Database

N1_F

Definition

The average frequency of the constrained unigrams of a word. A constrained unigram is defined as a specific letter in a specific position, for words of a specific length.

Number of Items

66211

URL

https://www.neuro.mcw.edu/mcword/

Citation

Medler, D. and J. Binder (2005). MCWord: An on-line orthographic database of the English language.

UnigramF_Avg_U

UnigramF_Avg_U

Source

MCWord

Name in Source Database

UN1_F

Definition

The average frequency of the unconstrained unigrams for a word. An unconstrained unigram is defined as a specific letter within a word, regardless of its position, or the word length.

Number of Items

66211

URL

https://www.neuro.mcw.edu/mcword/

Citation

Medler, D. and J. Binder (2005). MCWord: An on-line orthographic database of the English language.

BigramF_Avg_C

BigramF_Avg_C

Source

MCWord

Name in Source Database

N2_F

Definition

The average frequency of the constrained bigrams for a word. A constrained bigram is defined as a specific two letter combination (bigram) within a word, in a specific position, for words of a specific length.

Number of Items

66211

URL

https://www.neuro.mcw.edu/mcword/

Citation

Medler, D. and J. Binder (2005). MCWord: An on-line orthographic database of the English language.

BigramF_Avg_U

BigramF_Avg_U

Source

MCWord

Name in Source Database

UN2_F

Definition

The average frequency of the unconstrained bigrams for a word. An unconstrained bigram is defined as a specific two letter combination (bigram) within a word, regardless of its position, or word length.

Number of Items

66211

URL

https://www.neuro.mcw.edu/mcword/

Citation

Medler, D. and J. Binder (2005). MCWord: An on-line orthographic database of the English language.

TrigramF_Avg_C

TrigramF_Avg_C

Source

MCWord

Name in Source Database

N3_F

Definition

The average frequency of the constrained trigrams for a word. A constrained trigram is defined as a specific three letter combination (trigram) in a specific position, for words of a specific length.

Number of Items

66211

URL

https://www.neuro.mcw.edu/mcword/

Citation

Medler, D. and J. Binder (2005). MCWord: An on-line orthographic database of the English language.

TrigramF_Avg_U

TrigramF_Avg_U

Source

MCWord

Name in Source Database

UN3_F

Definition

The average frequency of the constrained trigrams for a word. An unconstrained trigram is defined as a specific three letter combination (trigram) within a word, regardless of its position, or the word length.

Number of Items

66211

URL

https://www.neuro.mcw.edu/mcword/

Citation

Medler, D. and J. Binder (2005). MCWord: An on-line orthographic database of the English language.

UnigramF_Avg_C_Log

UnigramF_Avg_C_Log

Source

MCWord

Name in Source Database

N1_F

Definition

Log10 version of the UnigramF_Avg_C

Number of Items

66211

URL

https://www.neuro.mcw.edu/mcword/

Citation

Medler, D. and J. Binder (2005). MCWord: An on-line orthographic database of the English language.

UnigramF_Avg_U_Log

UnigramF_Avg_U_Log

Source

MCWord

Name in Source Database

UN1_F

Definition

Log10 version of the UnigramF_Avg_U

Number of Items

66211

URL

https://www.neuro.mcw.edu/mcword/

Citation

Medler, D. and J. Binder (2005). MCWord: An on-line orthographic database of the English language.

BigramF_Avg_C_Log

BigramF_Avg_C_Log

Source

MCWord

Name in Source Database

N2_F

Definition

Log10 version of the BigramF_Avg_C

Number of Items

66211

URL

https://www.neuro.mcw.edu/mcword/

Citation

Medler, D. and J. Binder (2005). MCWord: An on-line orthographic database of the English language.

BigramF_Avg_U_Log

BigramF_Avg_U_Log

Source

MCWord

Name in Source Database

UN2_F

Definition

Log10 version of the BigramF_Avg_U

Number of Items

66211

URL

https://www.neuro.mcw.edu/mcword/

Citation

Medler, D. and J. Binder (2005). MCWord: An on-line orthographic database of the English language.

TrigramF_Avg_C_Log

TrigramF_Avg_C_Log

Source

MCWord

Name in Source Database

N3_F

Definition

Log10 version of the TrigramF_Avg_C

Number of Items

66211

URL

https://www.neuro.mcw.edu/mcword/

Citation

Medler, D. and J. Binder (2005). MCWord: An on-line orthographic database of the English language.

TrigramF_Avg_U_Log

TrigramF_Avg_U_Log

Source

MCWord

Name in Source Database

UN3_F

Definition

Log10 version of the TrigramF_Avg_U

Number of Items

66211

URL

https://www.neuro.mcw.edu/mcword/

Citation

Medler, D. and J. Binder (2005). MCWord: An on-line orthographic database of the English language.

OLD20

OLD20

Source

ELP

Name in Source Database

OLD

Definition

The mean distance of a word to its 20 closest orthographic neighbors based on Levenshtein distance .

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Yarkoni, T., et al. (2008). "Moving beyond Coltheart’s N: A new measure of orthographic similarity." Psychonomic bulletin & review15(5): 971-979.

OLD20F

OLD20F

Source

ELP

Name in Source Database

OLDF

Definition

The mean log HAL frequency of the closest 20 Levenshtein distance orthographic neighbors.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Yarkoni, T., et al. (2008). "Moving beyond Coltheart’s N: A new measure of orthographic similarity." Psychonomic bulletin & review15(5): 971-979.

Orth_N

Orth_N

Source

ELP

Name in Source Database

Ortho_N/Coltheart’s N

Definition

The number of words that can be obtained by changing one letter while preserving the identity and positions of the other letters.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459. Coltheart, M. (1977). "Access to the internal lexicon." The psychology of reading.

Orth_N_Freq

Orth_N_Freq

Source

ELP

Name in Source Database

Freq_N

Definition

The average frequency of the orthographic neighborhood of a particular word.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

Orth_N_Freq_G

Orth_N_Freq_G

Source

ELP

Name in Source Database

Freq_Greater

Definition

The number of words in the orthographic neighborhood of an item with a frequency greater than the frequency of the item.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

Orth_N_Freq_G_Mean

Orth_N_Freq_G_Mean

Source

ELP

Name in Source Database

Freq_G_Mean

Definition

The average frequency of the orthographic neighbors who have a frequency greater than the given word.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

Orth_N_Freq_L

Orth_N_Freq_L

Source

ELP

Name in Source Database

Freq_Less

Definition

The number of orthographic neighbors with a frequency less than that of a given item.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

Orth_N_Freq_L_Mean

Orth_N_Freq_L_Mean

Source

ELP

Name in Source Database

Freq_L_Mean

Definition

The average frequency of the orthographic neighbors who have a frequency lower than the given word.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

Orth_Spread

Orth_Spread

Source

Chee20

Name in Source Database

Ortho_spread

Definition

The number of letter positions that can be changed to form a neighbor that differs by a single letter.

Number of Items

37677

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

OUP

OUP

Source

MALD

Name in Source Database

OUP

Definition

Orthographic uniqueness point of a word based on CMU-A dictionary. It indicates which letter within the word distinguishes it from all other words. An index of one greater than the number of letters is assigned if even the final letter of the word does not make it unique.

Number of Items

26793

URL

http://aphl.artsrn.ualberta.ca/?page_id=827https://link.springer.com/article/10.3758/s13428-018-1056-1

Citation

Tucker, B. V., et al. (2019). "The massive auditory lexical decision (MALD) database." Behavior Research Methods51(3): 1187-1204. Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

NPhon

NPhon

Source

ELP

Name in Source Database

NPhon

Definition

The number of phonemes in a word.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

NSyll

NSyll

Source

ELP

Name in Source Database

NSyll

Definition

The number of syllables in a word.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

UniphonP_Un

UniphonP_Un

Source

IPhoD

Name in Source Database

unsLPOSPAV

Definition

The average likelihood of each phoneme occurring in each position of a word weighted by SUBTLEXus frequency, with vowel-stress ignored.

Number of Items

47893

URL

http://www.iphod.com/search/V2ListWords.html

Citation

Vaden, K. I., et al. (2009). Irvine phonotactic online dictionary, Version 2.0.[Data file].

UniphonP_St

UniphonP_St

Source

IPhoD

Name in Source Database

strLPOSPAV

Definition

The average likelihood of each phoneme occurring in each position of a word weighted by SUBTLEXus frequency, with distinct stress-vowels considered.

Number of Items

47893

URL

http://www.iphod.com/search/V2ListWords.html

Citation

Vaden, K. I., et al. (2009). Irvine phonotactic online dictionary, Version 2.0.[Data file].

UniphonP_Un_C

UniphonP_Un_C

Source

IPhoD

Name in Source Database

unsLLCPOSPAV

Definition

The length-constrained average likelihood of each phoneme occurring in each position of a word weighted by SUBTLEXus frequency, with vowel-stress ignored.

Number of Items

47893

URL

http://www.iphod.com/search/V2ListWords.html

Citation

Vaden, K. I., et al. (2009). Irvine phonotactic online dictionary, Version 2.0.[Data file].

UniphonP_St_C

UniphonP_St_C

Source

IPhoD

Name in Source Database

strLLCPOSPAV

Definition

The length-constrained average likelihood of each phoneme occurring in each position of a word weighted by SUBTLEXus frequency, with distinct stress-vowels considered.

Number of Items

47893

URL

http://www.iphod.com/search/V2ListWords.html

Citation

Vaden, K. I., et al. (2009). Irvine phonotactic online dictionary, Version 2.0.[Data file].

BiphonP_Un

BiphonP_Un

Source

IPhoD

Name in Source Database

unsLBPAV

Definition

The relative frequency of the sound sequences of a word at the level of its phoneme pairs (i.e., number of times a phoneme pair occurred among words, devided by all pairwise counts) weighted by SUBTLEXus frequency, with vowel-stress ignored.

Number of Items

47893

URL

http://www.iphod.com/search/V2ListWords.html

Citation

Vaden, K. I., et al. (2009). Irvine phonotactic online dictionary, Version 2.0.[Data file].

BiphonP_St

BiphonP_St

Source

IPhoD

Name in Source Database

strLBPAV

Definition

The relative frequency of the sound sequences of a word at the level of its phoneme pairs weighted by SUBTLEXus frequency, with stress-vowels accounted for.

Number of Items

47893

URL

http://www.iphod.com/search/V2ListWords.html

Citation

Vaden, K. I., et al. (2009). Irvine phonotactic online dictionary, Version 2.0.[Data file].

TriphonP_Un

TriphonP_Un

Source

IPhoD

Name in Source Database

unsLTPAV

Definition

The relative frequency of the sound sequences of a word at the level of its phoneme triplets weighted by SUBTLEXus frequency, with vowel-stress ignored.

Number of Items

47893

URL

http://www.iphod.com/search/V2ListWords.html

Citation

Vaden, K. I., et al. (2009). Irvine phonotactic online dictionary, Version 2.0.[Data file].

TriphonP_St

TriphonP_St

Source

IPhoD

Name in Source Database

strLTPAV

Definition

The relative frequency of the sound sequences of a word at the level of its phoneme triplets weighted by SUBTLEXus frequency, with vowel sounds with distinct stress placement distinguished.

Number of Items

47893

URL

http://www.iphod.com/search/V2ListWords.html

Citation

Vaden, K. I., et al. (2009). Irvine phonotactic online dictionary, Version 2.0.[Data file].

PLD20

PLD20

Source

ELP

Name in Source Database

PLD

Definition

The mean of a word to its 20 closest phonological neighbors based on Levenshtein distance.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

PLD20F

PLD20F

Source

ELP

Name in Source Database

PLDF

Definition

The mean log frequency of the closest 20 Levenshtein distance phonological neighbors.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

Phon_N

Phon_N

Source

ELP

Name in Source Database

Phono_N

Definition

The number of words that can be obtained by changing one phoneme while preserving the identity and positions of the other phonemes.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

Phon_N_Freq

Phon_N_Freq

Source

ELP

Name in Source Database

Freq_N_P

Definition

The average logHAL frequency of the phonological neighborhood of a particular word.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

Phon_Spread

Phon_Spread

Source

Chee20

Name in Source Database

Phono_spread

Definition

The number of phoneme positions that can be changed to form a neighbor that differs by a single phoneme.

Number of Items

37677

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

PUP

PUP

Source

MALD

Name in Source Database

PUP

Definition

Phonological uniqueness point of a word based on CMU-A dictionary, which indicates which phoneme within the word distinguishes it from all other words. An index of one greater than the number of letters is assigned if even the final sound of the word does not make it unique.

Number of Items

26793

URL

http://aphl.artsrn.ualberta.ca/?page_id=827https://link.springer.com/article/10.3758/s13428-018-1056-1

Citation

Tucker, B. V., et al. (2019). "The massive auditory lexical decision (MALD) database." Behavior Research Methods51(3): 1187-1204. Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

Phon_Cluster_Coef

Phon_Cluster_Coef

Source

Goldstein14

Name in Source Database

clustering

Definition

The fractions of neighbors a word that are also phonological neighbors of each other.

Number of Items

19339

Citation

Goldstein, R. and M. S. Vitevitch (2014). "The influence of clustering coefficient on word-learning: how groups of similar sounding words facilitate acquisition." Frontiers in Psychology5: 1307.

First_Phon_bilabial

First_Phon_bilabial

Source

CMU

Name in Source Database

NA

Definition

The first phoneme of a word based on the CMU Pronouncing Dictionary.

Number of Items

133286

URL

https://people.umass.edu/nconstan/CMU-IPA/; http://www.speech.cs.cmu.edu/cgi-bin/cmudict.

Citation

Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

First_Phon_labiodental

First_Phon_labiodental

Source

CMU

Name in Source Database

NA

Definition

The first phoneme of a word based on the CMU Pronouncing Dictionary.

Number of Items

133286

URL

https://people.umass.edu/nconstan/CMU-IPA/; http://www.speech.cs.cmu.edu/cgi-bin/cmudict.

Citation

Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

First_Phon_interdental

First_Phon_interdental

Source

CMU

Name in Source Database

NA

Definition

The first phoneme of a word based on the CMU Pronouncing Dictionary.

Number of Items

133286

URL

https://people.umass.edu/nconstan/CMU-IPA/; http://www.speech.cs.cmu.edu/cgi-bin/cmudict.

Citation

Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

First_Phon_alveolar

First_Phon_alveolar

Source

CMU

Name in Source Database

NA

Definition

The first phoneme of a word based on the CMU Pronouncing Dictionary.

Number of Items

133286

URL

https://people.umass.edu/nconstan/CMU-IPA/; http://www.speech.cs.cmu.edu/cgi-bin/cmudict.

Citation

Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

First_Phon_palatal

First_Phon_palatal

Source

CMU

Name in Source Database

NA

Definition

The first phoneme of a word based on the CMU Pronouncing Dictionary.

Number of Items

133286

URL

https://people.umass.edu/nconstan/CMU-IPA/; http://www.speech.cs.cmu.edu/cgi-bin/cmudict.

Citation

Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

First_Phon_velar

First_Phon_velar

Source

CMU

Name in Source Database

NA

Definition

The first phoneme of a word based on the CMU Pronouncing Dictionary.

Number of Items

133286

URL

https://people.umass.edu/nconstan/CMU-IPA/; http://www.speech.cs.cmu.edu/cgi-bin/cmudict.

Citation

Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

First_Phon_glottal

First_Phon_glottal

Source

CMU

Name in Source Database

NA

Definition

The first phoneme of a word based on the CMU Pronouncing Dictionary.

Number of Items

133286

URL

https://people.umass.edu/nconstan/CMU-IPA/; http://www.speech.cs.cmu.edu/cgi-bin/cmudict.

Citation

Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

First_Phon_stop

First_Phon_stop

Source

CMU

Name in Source Database

NA

Definition

The first phoneme of a word based on the CMU Pronouncing Dictionary.

Number of Items

133286

URL

https://people.umass.edu/nconstan/CMU-IPA/; http://www.speech.cs.cmu.edu/cgi-bin/cmudict.

Citation

Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

First_Phon_fricative

First_Phon_fricative

Source

CMU

Name in Source Database

NA

Definition

The first phoneme of a word based on the CMU Pronouncing Dictionary.

Number of Items

133286

URL

https://people.umass.edu/nconstan/CMU-IPA/; http://www.speech.cs.cmu.edu/cgi-bin/cmudict.

Citation

Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

First_Phon_affricate

First_Phon_affricate

Source

CMU

Name in Source Database

NA

Definition

The first phoneme of a word based on the CMU Pronouncing Dictionary.

Number of Items

133286

URL

https://people.umass.edu/nconstan/CMU-IPA/; http://www.speech.cs.cmu.edu/cgi-bin/cmudict.

Citation

Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

First_Phon_nasal

First_Phon_nasal

Source

CMU

Name in Source Database

NA

Definition

The first phoneme of a word based on the CMU Pronouncing Dictionary.

Number of Items

133286

URL

https://people.umass.edu/nconstan/CMU-IPA/; http://www.speech.cs.cmu.edu/cgi-bin/cmudict.

Citation

Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

First_Phon_liquid

First_Phon_liquid

Source

CMU

Name in Source Database

NA

Definition

The first phoneme of a word based on the CMU Pronouncing Dictionary.

Number of Items

133286

URL

https://people.umass.edu/nconstan/CMU-IPA/; http://www.speech.cs.cmu.edu/cgi-bin/cmudict.

Citation

Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

First_Phon_glide

First_Phon_glide

Source

CMU

Name in Source Database

NA

Definition

The first phoneme of a word based on the CMU Pronouncing Dictionary.

Number of Items

133286

URL

https://people.umass.edu/nconstan/CMU-IPA/; http://www.speech.cs.cmu.edu/cgi-bin/cmudict.

Citation

Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

First_Phon_voiced

First_Phon_voiced

Source

CMU

Name in Source Database

NA

Definition

The first phoneme of a word based on the CMU Pronouncing Dictionary.

Number of Items

133286

URL

https://people.umass.edu/nconstan/CMU-IPA/; http://www.speech.cs.cmu.edu/cgi-bin/cmudict.

Citation

Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

IPA

IPA

Source

CMU

Name in Source Database

NA

Definition

Phonemic-level transcription based on the CMU Pronouncing Dictionary.

Number of Items

133286

URL

https://people.umass.edu/nconstan/CMU-IPA/; http://www.speech.cs.cmu.edu/cgi-bin/cmudict.

Citation

Weide, R. (2005). "The Carnegie mellon pronouncing dictionary [cmudict. 0.6]." Pittsburgh, PA: Carnegie Mellon University.

Conc_Brys

Conc_Brys

Source

Brysbaert14

Name in Source Database

Conc.M

Definition

The degree to which the concept can be experienced directly through the senses from a 1 (abstract) to 5 (concrete) scale.

Number of Items

39954

URL

https://elexicon.wustl.edu/

Citation

Brysbaert, M., et al. (2014). "Concreteness ratings for 40 thousand generally known English word lemmas." Behavior Research Methods46(3): 904-911.

Conc_Glasgow

Conc_Glasgow

Source

Glasgow

Name in Source Database

CONC

Definition

The degree to which the concept can be experienced directly through the senses from a 1 (abstract) to 7 (concrete) scale.

Number of Items

4683

URL

https://link.springer.com/article/10.3758%2Fs13428-018-1099-3#Sec13

Citation

Scott, G. G., et al. (2019). "The Glasgow Norms: Ratings of 5,500 words on nine scales." Behavior Research Methods51(3): 1258-1270.

Imag_Glasgow

Imag_Glasgow

Source

Glasgow

Name in Source Database

IMAG

Definition

The degree of effort involved in generating a mental image of the concept on a 1 (unimageable) to 7 (imageable) scale.

Number of Items

4683

URL

https://link.springer.com/article/10.3758%2Fs13428-018-1099-3#Sec13

Citation

Scott, G. G., et al. (2019). "The Glasgow Norms: Ratings of 5,500 words on nine scales." Behavior Research Methods51(3): 1258-1270.

Imag_Composite

Imag_Composite

Source

Graves10

Name in Source Database

IMAG

Definition

The degree of effort involved in generating a mental image of a concept. This measure was obtained from a database compiled from 6 sources (Bird et al., 2001; Clark & Paivio, 2004; Cortese & Fugett, 2004; Gilhooly & Logie, 1980; Paivio et al., 1968; Toglia & Battig, 1978).

Number of Items

7683

URL

https://academic.oup.com/cercor/article/20/8/1799/398117#supplementary-data

Citation

Graves, W. W., et al. (2010). "Neural systems for reading aloud: a multiparametric approach." Cerebral Cortex20(8): 1799-1815.

Nsenses_WordNet

Nsenses_WordNet

Source

WordNet

Name in Source Database

Nsenses

Definition

Number of senses based on the WordNet database.

Number of Items

40481

URL

https://wordnet.princeton.edu/

Citation

Miller, G. A. (1995). "WordNet: a lexical database for English." Communications of the ACM38(11): 39-41.

Nsenses_Wordsmyth

Nsenses_Wordsmyth

Source

Wordsmyth

Name in Source Database

Number of senses

Definition

Number of senses based on the Wordsmyth dictionary.

Number of Items

533

URL

http://www.blairarmstrong.net/homonymnorms/

Citation

Rice, C. A., et al. (2019). "A comparison of homonym meaning frequency estimates derived from movie and television subtitles, free association, and explicit ratings." Behavior Research Methods51(3): 1399-1425.

Nmeanings_Wordsmyth

Nmeanings_Wordsmyth

Source

Wordsmyth

Name in Source Database

Number of meanings

Definition

Number of meanings based on the Wordsmyth dictionary.

Number of Items

533

URL

http://www.blairarmstrong.net/homonymnorms/

Citation

Rice, C. A., et al. (2019). "A comparison of homonym meaning frequency estimates derived from movie and television subtitles, free association, and explicit ratings." Behavior Research Methods51(3): 1399-1425.

Nmeanings_Websters

Nmeanings_Websters

Source

Websters

Name in Source Database

Number of meanings

Definition

Number of meanings based on the Websters dictionary.

Number of Items

99204

URL

https://github.com/matthewreagan/WebstersEnglishDictionary

Citation

Gao, C., Shinkareva, S. V., & Desai, R. H. "SCOPE: The South Carolina Psycholinguistic Metabase" (forthcoming)

NFeatures

NFeatures

Source

Buchanan19

Name in Source Database

feature

Definition

Number of features listed for the word. This measure was obtained by asking participants to provide lists of features for each concept presented.

Number of Items

4435

URL

https://osf.io/cjyzw/

Citation

Buchanan, E. M., et al. (2019). "English semantic feature production norms: An extended database of 4436 concepts." Behavior Research Methods51(4): 1849-1863.

Visual_Lanc

Visual_Lanc

Source

Lancaster

Name in Source Database

Visual

Definition

To what extent one experiences the referent by seeing, from 0 (not experienced at all) to 5 (experienced greatly).

Number of Items

39707

URL

https://osf.io/7emr6/

Citation

Lynott, D., et al. (2020). "The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words." Behavior Research Methods52(3): 1271-1291.

Auditory_Lanc

Auditory_Lanc

Source

Lancaster

Name in Source Database

Auditory

Definition

To what extent one experiences the referent by hearing, from 0 (not experienced at all) to 5 (experienced greatly).

Number of Items

39707

URL

https://osf.io/7emr6/

Citation

Lynott, D., et al. (2020). "The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words." Behavior Research Methods52(3): 1271-1291.

Haptic_Lanc

Haptic_Lanc

Source

Lancaster

Name in Source Database

Haptic

Definition

To what extent one experiences the referent by feeling through touch, from 0 (not experienced at all) to 5 (experienced greatly).

Number of Items

39707

URL

https://osf.io/7emr6/

Citation

Lynott, D., et al. (2020). "The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words." Behavior Research Methods52(3): 1271-1291.

Olfactory_Lanc

Olfactory_Lanc

Source

Lancaster

Name in Source Database

Olfactory

Definition

To what extent one experiences the referent by smelling, from 0 (not experienced at all) to 5 (experienced greatly).

Number of Items

39707

URL

https://osf.io/7emr6/

Citation

Lynott, D., et al. (2020). "The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words." Behavior Research Methods52(3): 1271-1291.

Gustatory_Lanc

Gustatory_Lanc

Source

Lancaster

Name in Source Database

Gustatory

Definition

To what extent one experiences the referent by tasting, from 0 (not experienced at all) to 5 (experienced greatly).

Number of Items

39707

URL

https://osf.io/7emr6/

Citation

Lynott, D., et al. (2020). "The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words." Behavior Research Methods52(3): 1271-1291.

Interoceptive_Lanc

Interoceptive_Lanc

Source

Lancaster

Name in Source Database

Interoceptive

Definition

To what extent one experiences the referent by sensations inside one’s body, from 0 (not experienced at all) to 5 (experienced greatly).

Number of Items

39707

URL

https://osf.io/7emr6/

Citation

Lynott, D., et al. (2020). "The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words." Behavior Research Methods52(3): 1271-1291.

Head_Lanc

Head_Lanc

Source

Lancaster

Name in Source Database

Head

Definition

To what extent one experiences the referent by performing an action with the head, from 0 (not experienced at all) to 5 (experienced greatly).

Number of Items

39707

URL

https://osf.io/7emr6/

Citation

Lynott, D., et al. (2020). "The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words." Behavior Research Methods52(3): 1271-1291.

Torso_Lanc

Torso_Lanc

Source

Lancaster

Name in Source Database

Torso

Definition

To what extent one experiences the referent by performing an action with the torso, from 0 (not experienced at all) to 5 (experienced greatly).

Number of Items

39707

URL

https://osf.io/7emr6/

Citation

Lynott, D., et al. (2020). "The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words." Behavior Research Methods52(3): 1271-1291.

Mouth_Throat_Lanc

Mouth_Throat_Lanc

Source

Lancaster

Name in Source Database

Mouth/throat

Definition

To what extent one experiences the referent by performing an action with the Mouth/throat, from 0 (not experienced at all) to 5 (experienced greatly).

Number of Items

39707

URL

https://osf.io/7emr6/

Citation

Lynott, D., et al. (2020). "The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words." Behavior Research Methods52(3): 1271-1291.

Hand_Arm_Lanc

Hand_Arm_Lanc

Source

Lancaster

Name in Source Database

Hand/arm

Definition

To what extent one experiences the referent by performing an action with the hand/arm, from 0 (not experienced at all) to 5 (experienced greatly).

Number of Items

39707

URL

https://osf.io/7emr6/

Citation

Lynott, D., et al. (2020). "The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words." Behavior Research Methods52(3): 1271-1291.

Foot_Leg_Lanc

Foot_Leg_Lanc

Source

Lancaster

Name in Source Database

Foot/leg

Definition

To what extent one experiences the referent by performing an action with the foot/leg, from 0 (not experienced at all) to 5 (experienced greatly).

Number of Items

39707

URL

https://osf.io/7emr6/

Citation

Lynott, D., et al. (2020). "The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words." Behavior Research Methods52(3): 1271-1291.

Mink_Perceptual_Lanc

Mink_Perceptual_Lanc

Source

Lancaster

Name in Source Database

Minkowski3.perceptual

Definition

Minkowski distance at m = 3 of the vector from the origin. It represents a composite measure of the perceptual strength in all dimensions, but the influence of weaker dimensions is attenuated.

Number of Items

39707

URL

https://osf.io/7emr6/

Citation

Lynott, D., et al. (2020). "The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words." Behavior Research Methods52(3): 1271-1291.

Mink_Action_Lanc

Mink_Action_Lanc

Source

Lancaster

Name in Source Database

Minkowski3.action

Definition

Minkowski distance at m = 3 of the vector from the origin. It represents a composite measure of the action strength in all dimensions, but the influence of weaker dimensions is attenuated.

Number of Items

39707

URL

https://osf.io/7emr6/

Citation

Lynott, D., et al. (2020). "The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words." Behavior Research Methods52(3): 1271-1291.

Compo_attribs

Compo_attribs

Source

Binder16

Name in Source Database

Vision, dark, bright etc.

Definition

Compontential Attributes: A set of 65 experiential attributes based on neurobiological considerations, comprising sensory, motor, spatial, temporal, affective, social, and cognitive experiences on a 0 (Not at all) to 6 (very much) scale.

Number of Items

534

URL

https://www.neuro.mcw.edu/index.php/resources/brain-based-semantic-representations/

Citation

Binder, J. R., et al. (2016). "Toward a brain-based componential semantic representation." Cognitive Neuropsychology33(3-4): 130-174.

BOI

BOI

Source

Pexman19

Name in Source Database

Body_Object_Interaction

Definition

The ease with which the human body can interact with a word’s referent on a scale from 1 (low interaction) to 7 (high interaction).

Number of Items

9348

URL

https://link.springer.com/article/10.3758/s13428-018-1171-z#Sec9

Citation

Pexman, P. M., et al. (2019). "Quantifying sensorimotor experience: Body–object interaction ratings for more than 9,000 English words." Behavior Research Methods51(2): 453-466.

CBOI

CBOI

Source

Muraki22

Name in Source Database

Mean

Definition

The ease with which an average 6-year-old child can interact with each word’s referent on a scale from 1 (low interaction) to 7 (high interaction).

Number of Items

3384

URL

https://osf.io/xcezv

Citation

Muraki, E. J., Siddiqui, I. A., & Pexman, P. M. (2022). Quantifying children’s sensorimotor experience: Child body–object interaction ratings for 3359 English words. Behavior Research Methods, 54(6), 2864-2877.

Sem_Size_Glasgow

Sem_Size_Glasgow

Source

Glasgow

Name in Source Database

SIZE

Definition

Magnitude of an object or concept expressed in either concrete (physical) or abstract terms on a 1 (small) to 7 (big) scale.

Number of Items

4683

URL

https://link.springer.com/article/10.3758%2Fs13428-018-1099-3#Sec13

Citation

Scott, G. G., et al. (2019). "The Glasgow Norms: Ratings of 5,500 words on nine scales." Behavior Research Methods51(3): 1258-1270.

Gender_Assoc_Glasgow

Gender_Assoc_Glasgow

Source

Glasgow

Name in Source Database

GEND

Definition

The degree to which words are considered to be associated with male or female behavior on a 1 (feminine) to 7 (masculine) scale.

Number of Items

4683

URL

https://link.springer.com/article/10.3758%2Fs13428-018-1099-3#Sec13

Citation

Scott, G. G., et al. (2019). "The Glasgow Norms: Ratings of 5,500 words on nine scales." Behavior Research Methods51(3): 1258-1270.

Feature_Visual

Feature_Visual

Source

Vinson08

Name in Source Database

Visual

Definition

Feature weight that describes information associated with sense of vision as indicated by 0 or 1.

Number of Items

1028

URL

https://link.springer.com/article/10.3758/BRM.40.1.183#SecESM1

Citation

Vinson, D. P. and G. Vigliocco (2008). "Semantic feature production norms for a large set of objects and events." Behavior Research Methods40(1): 183-190.

Feature_Perceptual

Feature_Perceptual

Source

Vinson08

Name in Source Database

Perceptual

Definition

Feature weight that describes information gained through sensory input, including body state and proprioception as indicated by 0 or 1.

Number of Items

1028

URL

https://link.springer.com/article/10.3758/BRM.40.1.183#SecESM1

Citation

Vinson, D. P. and G. Vigliocco (2008). "Semantic feature production norms for a large set of objects and events." Behavior Research Methods40(1): 183-190.

Feature_Functional

Feature_Functional

Source

Vinson08

Name in Source Database

Functional

Definition

Feature weight that refers to the purpose of a thing, or the purpose or goal of an action, as indicated by 0 or 1.

Number of Items

1028

URL

https://link.springer.com/article/10.3758/BRM.40.1.183#SecESM1

Citation

Vinson, D. P. and G. Vigliocco (2008). "Semantic feature production norms for a large set of objects and events." Behavior Research Methods40(1): 183-190.

Feature_Motoric

Feature_Motoric

Source

Vinson08

Name in Source Database

Motoric

Definition

Feature weight that describes a such motor component of an action as indicated by 0 or 1.

Number of Items

1028

URL

https://link.springer.com/article/10.3758/BRM.40.1.183#SecESM1

Citation

Vinson, D. P. and G. Vigliocco (2008). "Semantic feature production norms for a large set of objects and events." Behavior Research Methods40(1): 183-190.

Sensory_Experience

Sensory_Experience

Source

Juhasz13

Name in Source Database

Average.SER

Definition

The extent to which a word evokes a sensory and/or perceptual experience in the mind of the reader on a 1 to 7 scale, with higher numbers indicating a greater sensory experience.

Number of Items

5856

URL

https://link.springer.com/article/10.3758/s13428-012-0242-9#SecESM1

Citation

Juhasz, B.J., Yap, M.J. Sensory experience ratings for over 5,000 mono- and disyllabic words. Behav Res 45, 160–168 (2013).

Socialness

Socialness

Source

Diveica22

Name in Source Database

Mean

Definition

The extent to which a word's meaning has social relevance on a seven-point Likert scale from 1 to 7.

Number of Items

8387

URL

https://osf.io/2dqnj/

Citation

Diveica, V., Pexman, P. M., & Binney, R. J. (2022). Quantifying social semantics: An inclusive definition of socialness and ratings for 8388 English words. Behavior Research Methods, 1-13.

Mental_Physical_Verb

Mental_Physical_Verb

Source

Orr23

Name in Source Database

Value

Definition

The extent to which common verbs reflect mental (vs physical activities and occurrences on a rating scale ranged from 0 (Strictly Physical Activity) to 100 (Strictly Mental Activity).

Number of Items

250

URL

https://link.springer.com/article/10.3758/s13428-022-01911-7#Sec12

Citation

Orr, R. I., & Gilead, M. (2023). Development and validation of the Mental-Physical Verb Norms (MPVN): A text analysis measure of mental state attribution. Behavior Research Methods, 1-21.

MaFI

MaFI

Source

Krason23

Name in Source Database

MaFI

Definition

The visual informativeness of words based on their corresponding mouth and facial movements

Number of Items

2276

URL

https://osf.io/mna8j/

Citation

Krason, A., Zhang, Y., Man, H., & Vigliocco, G. (2023). Mouth and facial informativeness norms for 2276 English words. Behavior Research Methods, 1-16.

Valence_Warr

Valence_Warr

Source

Warriner13

Name in Source Database

V.Mean.Sum

Definition

The pleasantness of a stimulus on a 1 (happy) to 9 (unhappy) scale.

Number of Items

13914

URL

https://elexicon.wustl.edu/

Citation

Warriner, A. B., et al. (2013). "Norms of valence, arousal, and dominance for 13,915 English lemmas." Behavior Research Methods45(4): 1191-1207.

Valence_Extremity_Warr

Valence_Extremity_Warr

Source

Warriner13

Name in Source Database

NA

Definition

The absolute value of the difference between valence rating from 5, the neutral point on the scale.

Number of Items

13914

URL

https://elexicon.wustl.edu/

Citation

Warriner, A. B., et al. (2013). "Norms of valence, arousal, and dominance for 13,915 English lemmas." Behavior Research Methods45(4): 1191-1207.

Valence_Glasgow

Valence_Glasgow

Source

Glasgow

Name in Source Database

VAL

Definition

The pleasantness of a stimulus on a 1 (happy) to 9 (unhappy) scale.

Number of Items

4683

URL

https://link.springer.com/article/10.3758%2Fs13428-018-1099-3#Sec13

Citation

Scott, G. G., et al. (2019). "The Glasgow Norms: Ratings of 5,500 words on nine scales." Behavior Research Methods51(3): 1258-1270.

Valence_NRC

Valence_NRC

Source

NRC

Name in Source Database

NA

Definition

Word-emotion association built by manual annotation using Best-Worst Scaling method, with scores ranging from 0 (negative) to 1 (positive).

Number of Items

20007

Citation

Mohammad, S. and P. Turney (2010). Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon. Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text. Mohammad, S. M. and P. D. Turney (2013). "Crowdsourcing a word–emotion association lexicon." Computational intelligence 29(3): 436-465.

Valence_Covid_Younger

Valence_Covid_Younger

Source

ValenceCovid

Name in Source Database

valence_younger_2021

Definition

Participants with mean age of 34 were asked to provide a rating on a scale of 1 (unhappy) to 9 (happy) of how you felt while reading each word. If the participants feel completely neutral you should rate a 5 during the COVID-19 pandemic

Number of Items

3600

URL

https://osf.io/e6px8/?view_only=0bef4b18a1

Citation

Kyröläinen, A. J., Luke, J., Libben, G., & Kuperman, V. (2022). Valence norms for 3,600 English words collected during the COVID-19 pandemic: Effects of age and the pandemic. Behavior Research Methods, 54(5), 2445-2456.

Valence_Covid_Older

Valence_Covid_Older

Source

ValenceCovid

Name in Source Database

valence_older_2021

Definition

Participants with mean age of 70 were asked to provide a rating on a scale of 1 (unhappy) to 9 (happy) of how you felt while reading each word. If the participants feel completely neutral you should rate a 5 during the COVID-19 pandemic

Number of Items

3600

URL

https://osf.io/e6px8/?view_only=0bef4b18a1

Citation

Kyröläinen, A. J., Luke, J., Libben, G., & Kuperman, V. (2022). Valence norms for 3,600 English words collected during the COVID-19 pandemic: Effects of age and the pandemic. Behavior Research Methods, 54(5), 2445-2456.

Arousal_Warr

Arousal_Warr

Source

Warriner13

Name in Source Database

A.Mean.Sum

Definition

The intensity of emotion provoked by a stimulus on a 1 (aroused) to 9 (calm) scale.

Number of Items

13914

URL

https://elexicon.wustl.edu/

Citation

Warriner, A. B., et al. (2013). "Norms of valence, arousal, and dominance for 13,915 English lemmas." Behavior Research Methods45(4): 1191-1207.

Arousal_Glasgow

Arousal_Glasgow

Source

Glasgow

Name in Source Database

AROU

Definition

The intensity of emotion provoked by a stimulus on a 1 (aroused) to 9 (calm) scale.

Number of Items

4683

URL

https://link.springer.com/article/10.3758%2Fs13428-018-1099-3#Sec13

Citation

Scott, G. G., et al. (2019). "The Glasgow Norms: Ratings of 5,500 words on nine scales." Behavior Research Methods51(3): 1258-1270.

Arousal_NRC

Arousal_NRC

Source

NRC

Name in Source Database

NA

Definition

Word-emotion association built by manual annotation using Best-Worst Scaling method, with scores ranging from 0 (low arousal) to 1 (high arousal).

Number of Items

20007

URL

http://saifmohammad.com/WebPages/lexicons.html

Citation

Mohammad, S. and P. Turney (2010). Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon. Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text. Mohammad, S. M. and P. D. Turney (2013). "Crowdsourcing a word–emotion association lexicon." Computational intelligence 29(3): 436-465.

Dominance_Warr

Dominance_Warr

Source

Warriner13

Name in Source Database

D.Mean.Sum

Definition

The degree of control exerted by a stimulus on a 1 (controlled) to 9 (in control) scale.

Number of Items

13914

URL

https://elexicon.wustl.edu/

Citation

Warriner, A. B., et al. (2013). "Norms of valence, arousal, and dominance for 13,915 English lemmas." Behavior Research Methods45(4): 1191-1207.

Dominance_Glasgow

Dominance_Glasgow

Source

Glasgow

Name in Source Database

DOM

Definition

The degree of control exerted by a stimulus on a 1 (controlled) to 9 (in control) scale.

Number of Items

4683

URL

https://link.springer.com/article/10.3758%2Fs13428-018-1099-3#Sec13

Citation

Scott, G. G., et al. (2019). "The Glasgow Norms: Ratings of 5,500 words on nine scales." Behavior Research Methods51(3): 1258-1270.

Dominance_NRC

Dominance_NRC

Source

NRC

Name in Source Database

NA

Definition

Word-emotion association built by manual annotation using Best-Worst Scaling method, with scores ranging from 0 (low dominance) to 1 (high dominance).

Number of Items

20007

URL

http://saifmohammad.com/WebPages/lexicons.html

Citation

Mohammad, S. and P. Turney (2010). Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon. Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text. Mohammad, S. M. and P. D. Turney (2013). "Crowdsourcing a word–emotion association lexicon." Computational intelligence 29(3): 436-465.

Humor_Overall_Enge

Humor_Overall_Enge

Source

Engelthaler18

Name in Source Database

Mean

Definition

Overall humor ratings for words on a scale from 1 (humorless) to 5 (humorous).

Number of Items

4996

URL

https://github.com/tomasengelthaler/HumorNorms

Citation

Engelthaler, T. and T. T. Hills (2018). "Humor norms for 4,997 English words." Behavior Research Methods50(3): 1116-1124.

Humor_Male_Enge

Humor_Male_Enge

Source

Engelthaler18

Name in Source Database

mean_M

Definition

Humor ratings from the male group on a scale from 1 (humorless) to 5 (humorous).

Number of Items

4996

URL

https://github.com/tomasengelthaler/HumorNorms

Citation

Engelthaler, T. and T. T. Hills (2018). "Humor norms for 4,997 English words." Behavior Research Methods50(3): 1116-1124.

Humor_Female_Enge

Humor_Female_Enge

Source

Engelthaler18

Name in Source Database

mean_F

Definition

Humor ratings from the female group on a scale from 1 (humorless) to 5 (humorous).

Number of Items

4996

URL

https://github.com/tomasengelthaler/HumorNorms

Citation

Engelthaler, T. and T. T. Hills (2018). "Humor norms for 4,997 English words." Behavior Research Methods50(3): 1116-1124.

Humor_Young_Enge

Humor_Young_Enge

Source

Engelthaler18

Name in Source Database

mean_young

Definition

Humor ratings from the young group on a scale from 1 (humorless) to 5 (humorous).

Number of Items

4996

URL

https://github.com/tomasengelthaler/HumorNorms

Citation

Engelthaler, T. and T. T. Hills (2018). "Humor norms for 4,997 English words." Behavior Research Methods50(3): 1116-1124.

Humor_Old_Enge

Humor_Old_Enge

Source

Engelthaler18

Name in Source Database

mean_old

Definition

Humor ratings from the old group on a scale from 1 (humorless) to 5 (humorous).

Number of Items

4996

URL

https://github.com/tomasengelthaler/HumorNorms

Citation

Engelthaler, T. and T. T. Hills (2018). "Humor norms for 4,997 English words." Behavior Research Methods50(3): 1116-1124.

Emot_Assoc_Anger

Emot_Assoc_Anger

Source

NRC

Name in Source Database

NA

Definition

Word-emotion association built by manual annotation using Best-Worst Scaling method, with 0 (not associated) and 1 (associated) ratings for 10 emotions: positive, negative, anger, anticipation, disgust, fear, joy, sadness, surprise, and trust.

Number of Items

14181

URL

http://saifmohammad.com/WebPages/lexicons.html

Citation

Mohammad, S. and P. Turney (2010). Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon. Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text. Mohammad, S. M. and P. D. Turney (2013). "Crowdsourcing a word–emotion association lexicon." Computational intelligence 29(3): 436-465.

Emot_Assoc_Anticipation

Emot_Assoc_Anticipation

Source

NRC

Name in Source Database

NA

Definition

Word-emotion association built by manual annotation using Best-Worst Scaling method, with 0 (not associated) and 1 (associated) ratings for 10 emotions: positive, negative, anger, anticipation, disgust, fear, joy, sadness, surprise, and trust.

Number of Items

14181

URL

http://saifmohammad.com/WebPages/lexicons.html

Citation

Mohammad, S. and P. Turney (2010). Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon. Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text. Mohammad, S. M. and P. D. Turney (2013). "Crowdsourcing a word–emotion association lexicon." Computational intelligence 29(3): 436-465.

Emot_Assoc_Disgust

Emot_Assoc_Disgust

Source

NRC

Name in Source Database

NA

Definition

Word-emotion association built by manual annotation using Best-Worst Scaling method, with 0 (not associated) and 1 (associated) ratings for 10 emotions: positive, negative, anger, anticipation, disgust, fear, joy, sadness, surprise, and trust.

Number of Items

14181

URL

http://saifmohammad.com/WebPages/lexicons.html

Citation

Mohammad, S. and P. Turney (2010). Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon. Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text. Mohammad, S. M. and P. D. Turney (2013). "Crowdsourcing a word–emotion association lexicon." Computational intelligence 29(3): 436-465.

Emot_Assoc_Fear

Emot_Assoc_Fear

Source

NRC

Name in Source Database

NA

Definition

Word-emotion association built by manual annotation using Best-Worst Scaling method, with 0 (not associated) and 1 (associated) ratings for 10 emotions: positive, negative, anger, anticipation, disgust, fear, joy, sadness, surprise, and trust.

Number of Items

14181

URL

http://saifmohammad.com/WebPages/lexicons.html

Citation

Mohammad, S. and P. Turney (2010). Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon. Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text. Mohammad, S. M. and P. D. Turney (2013). "Crowdsourcing a word–emotion association lexicon." Computational intelligence 29(3): 436-465.

Emot_Assoc_Joy

Emot_Assoc_Joy

Source

NRC

Name in Source Database

NA

Definition

Word-emotion association built by manual annotation using Best-Worst Scaling method, with 0 (not associated) and 1 (associated) ratings for 10 emotions: positive, negative, anger, anticipation, disgust, fear, joy, sadness, surprise, and trust.

Number of Items

14181

URL

http://saifmohammad.com/WebPages/lexicons.html

Citation

Mohammad, S. and P. Turney (2010). Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon. Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text. Mohammad, S. M. and P. D. Turney (2013). "Crowdsourcing a word–emotion association lexicon." Computational intelligence 29(3): 436-465.

Emot_Assoc_Negative

Emot_Assoc_Negative

Source

NRC

Name in Source Database

NA

Definition

Word-emotion association built by manual annotation using Best-Worst Scaling method, with 0 (not associated) and 1 (associated) ratings for 10 emotions: positive, negative, anger, anticipation, disgust, fear, joy, sadness, surprise, and trust.

Number of Items

14181

URL

http://saifmohammad.com/WebPages/lexicons.html

Citation

Mohammad, S. and P. Turney (2010). Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon. Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text. Mohammad, S. M. and P. D. Turney (2013). "Crowdsourcing a word–emotion association lexicon." Computational intelligence 29(3): 436-465.

Emot_Assoc_Positive

Emot_Assoc_Positive

Source

NRC

Name in Source Database

NA

Definition

Word-emotion association built by manual annotation using Best-Worst Scaling method, with 0 (not associated) and 1 (associated) ratings for 10 emotions: positive, negative, anger, anticipation, disgust, fear, joy, sadness, surprise, and trust.

Number of Items

14181

URL

http://saifmohammad.com/WebPages/lexicons.html

Citation

Mohammad, S. and P. Turney (2010). Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon. Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text. Mohammad, S. M. and P. D. Turney (2013). "Crowdsourcing a word–emotion association lexicon." Computational intelligence 29(3): 436-465.

Emot_Assoc_Sadness

Emot_Assoc_Sadness

Source

NRC

Name in Source Database

NA

Definition

Word-emotion association built by manual annotation using Best-Worst Scaling method, with 0 (not associated) and 1 (associated) ratings for 10 emotions: positive, negative, anger, anticipation, disgust, fear, joy, sadness, surprise, and trust.

Number of Items

14181

URL

http://saifmohammad.com/WebPages/lexicons.html

Citation

Mohammad, S. and P. Turney (2010). Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon. Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text. Mohammad, S. M. and P. D. Turney (2013). "Crowdsourcing a word–emotion association lexicon." Computational intelligence 29(3): 436-465.

Emot_Assoc_Surprise

Emot_Assoc_Surprise

Source

NRC

Name in Source Database

NA

Definition

Word-emotion association built by manual annotation using Best-Worst Scaling method, with 0 (not associated) and 1 (associated) ratings for 10 emotions: positive, negative, anger, anticipation, disgust, fear, joy, sadness, surprise, and trust.

Number of Items

14181

URL

http://saifmohammad.com/WebPages/lexicons.html

Citation

Mohammad, S. and P. Turney (2010). Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon. Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text. Mohammad, S. M. and P. D. Turney (2013). "Crowdsourcing a word–emotion association lexicon." Computational intelligence 29(3): 436-465.

Emot_Assoc_Trust

Emot_Assoc_Trust

Source

NRC

Name in Source Database

NA

Definition

Word-emotion association built by manual annotation using Best-Worst Scaling method, with 0 (not associated) and 1 (associated) ratings for 10 emotions: positive, negative, anger, anticipation, disgust, fear, joy, sadness, surprise, and trust.

Number of Items

14181

URL

http://saifmohammad.com/WebPages/lexicons.html

Citation

Mohammad, S. and P. Turney (2010). Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon. Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text. Mohammad, S. M. and P. D. Turney (2013). "Crowdsourcing a word–emotion association lexicon." Computational intelligence 29(3): 436-465.

AffectVec

AffectVec

Source

Mohammad20

Name in Source Database

Levity, hate, loyalty etc.

Definition

AffectVec: Scores that quantify the association of words with over 200 different emotion categories. It can be used for sentence or text-level emotion prediction.

Number of Items

76427

URL

http://emotion.nlproc.org/

Citation

Mohammad, S. M. (2020). Practical and ethical considerations in the effective use of emotion and sentiment lexicons. arXiv preprint arXiv:2011.03492.

Sem_Diversity

Sem_Diversity

Source

Hoffman13

Name in Source Database

SemD

Definition

The degree to which different contexts associated with a word vary in their meanings.

Number of Items

31739

URL

https://link.springer.com/article/10.3758/s13428-012-0278-x#SecESM1

Citation

Hoffman, P., et al. (2013). "Semantic diversity: A measure of semantic ambiguity based on variability in the contextual usage of words." Behavior Research Methods45(3): 718-730.

Sem_N

Sem_N

Source

HiDEx

Name in Source Database

NCOUNT

Definition

The number of semantic neighbors within a threshold. The threshold is a distance in co-occurrence space, which is calculated by randomly sampling many word pairs and calculating their interword distances to obtain the mean and standard deviation of this distance distribution.

Number of Items

57153

URL

https://www.psych.ualberta.ca/~westburylab/downloads/westburylab.arcs.ncounts.html

Citation

Shaoul, C. and C. Westbury (2006). "Word frequency effects in high-dimensional co-occurrence models: A new approach." Behavior Research Methods38(2): 190-195. Shaoul, C. and C. Westbury (2010). "Exploring lexical co-occurrence space using HiDEx." Behavior Research Methods 42(2): 393-413.

Sem_N_D

Sem_N_D

Source

HiDEx

Name in Source Database

ARC

Definition

The average radius of co-occurrence, which is the average distance between the words in the semantic neighborhood and the target word.

Number of Items

57153

URL

https://www.psych.ualberta.ca/~westburylab/downloads/westburylab.arcs.ncounts.html

Citation

Shaoul, C. and C. Westbury (2006). "Word frequency effects in high-dimensional co-occurrence models: A new approach." Behavior Research Methods38(2): 190-195. Shaoul, C. and C. Westbury (2010). "Exploring lexical co-occurrence space using HiDEx." Behavior Research Methods 42(2): 393-413.

Sem_N_D_Taxonomic_N3

Sem_N_D_Taxonomic_N3

Source

Reilly17

Name in Source Database

N3

Definition

The mean distance of nearest 3 semantic neighbors of a word based on taxonomic similarity. Similarity is calculated using vector representations (calculated from a corpus) of words that emphasize taxonomic (as opposed to thematic or associative) relations.

Number of Items

220137

URL

https://www.mccauslandcenter.sc.edu/delab/sites/sc.edu.delab/files/attachments/SND_reilly_desai.txt

Citation

Reilly, M. and R. H. Desai (2017). "Effects of semantic neighborhood density in abstract and concrete words." Cognition169: 46-53. Roller, S. and K. Erk (2016). "Relations such as hypernymy: Identifying and exploiting hearst patterns in distributional vectors for lexical entailment." arXiv preprint arXiv:1605.05433.

Sem_N_D_Taxonomic_N10

Sem_N_D_Taxonomic_N10

Source

Reilly17

Name in Source Database

N10

Definition

The mean distance of nearest 10 semantic neighbors of a word based on taxonomic similarity. Similarity is calculated using vector representations (calculated from a corpus) of words that emphasize taxonomic (as opposed to thematic or associative) relations.

Number of Items

220137

URL

https://www.mccauslandcenter.sc.edu/delab/sites/sc.edu.delab/files/attachments/SND_reilly_desai.txt

Citation

Reilly, M. and R. H. Desai (2017). "Effects of semantic neighborhood density in abstract and concrete words." Cognition169: 46-53. Roller, S. and K. Erk (2016). "Relations such as hypernymy: Identifying and exploiting hearst patterns in distributional vectors for lexical entailment." arXiv preprint arXiv:1605.05433.

Sem_N_D_Taxonomic_N25

Sem_N_D_Taxonomic_N25

Source

Reilly17

Name in Source Database

N25

Definition

The mean distance of nearest 25 semantic neighbors of a word based on taxonomic similarity. Similarity is calculated using vector representations (calculated from a corpus) of words that emphasize taxonomic (as opposed to thematic or associative) relations.

Number of Items

220137

URL

https://www.mccauslandcenter.sc.edu/delab/sites/sc.edu.delab/files/attachments/SND_reilly_desai.txt

Citation

Reilly, M. and R. H. Desai (2017). "Effects of semantic neighborhood density in abstract and concrete words." Cognition169: 46-53. Roller, S. and K. Erk (2016). "Relations such as hypernymy: Identifying and exploiting hearst patterns in distributional vectors for lexical entailment." arXiv preprint arXiv:1605.05433.

Sem_N_D_Taxonomic_N50

Sem_N_D_Taxonomic_N50

Source

Reilly17

Name in Source Database

N50

Definition

The mean distance of nearest 50 semantic neighbors of a word based on taxonomic similarity. Similarity is calculated using vector representations (calculated from a corpus) of words that emphasize taxonomic (as opposed to thematic or associative) relations.

Number of Items

220137

URL

https://www.mccauslandcenter.sc.edu/delab/sites/sc.edu.delab/files/attachments/SND_reilly_desai.txt

Citation

Reilly, M. and R. H. Desai (2017). "Effects of semantic neighborhood density in abstract and concrete words." Cognition169: 46-53. Roller, S. and K. Erk (2016). "Relations such as hypernymy: Identifying and exploiting hearst patterns in distributional vectors for lexical entailment." arXiv preprint arXiv:1605.05433.

Assoc_Freq_Token

Assoc_Freq_Token

Source

ELP

Name in Source Database

Assoc_Freq_R1

Definition

The number of times that a word is the first associate across all target words.

Number of Items

79672

URL

https://elexicon.wustl.edu/; https://smallworldofwords.org/en/project/research

Citation

De Deyne, S., et al. (2019). "The “Small World of Words” English word association norms for over 12,000 cue words." Behavior Research Methods51(3): 987-1006.

Assoc_Freq_Type

Assoc_Freq_Type

Source

ELP

Name in Source Database

Assoc_Types_R1

Definition

The number of unique words that produce the target word first.

Number of Items

79672

URL

https://elexicon.wustl.edu/; https://smallworldofwords.org/en/project/research

Citation

De Deyne, S., et al. (2019). "The “Small World of Words” English word association norms for over 12,000 cue words." Behavior Research Methods51(3): 987-1006.

Assoc_Freq_Token123

Assoc_Freq_Token123

Source

ELP

Name in Source Database

Assoc_Freq_R123

Definition

The number of times that a word is one of the first three associates across all target words.

Number of Items

79672

URL

https://elexicon.wustl.edu/; https://smallworldofwords.org/en/project/research

Citation

De Deyne, S., et al. (2019). "The “Small World of Words” English word association norms for over 12,000 cue words." Behavior Research Methods51(3): 987-1006.

Assoc_Freq_Type123

Assoc_Freq_Type123

Source

ELP

Name in Source Database

Assoc_Types_R123

Definition

The number of unique words that produce the target word in the first three associates.

Number of Items

79672

URL

https://elexicon.wustl.edu/; https://smallworldofwords.org/en/project/research

Citation

De Deyne, S., et al. (2019). "The “Small World of Words” English word association norms for over 12,000 cue words." Behavior Research Methods51(3): 987-1006.

Cue_SetSize

Cue_SetSize

Source

Nelson04

Name in Source Database

QSS

Definition

The number of different responses or targets given by two or more participants in the normative sample, which provides a relative index of the set size of a particular word by providing a reliable measure of how many strong associates it has.

Number of Items

5018

URL

http://w3.usf.edu/FreeAssociation/AppendixA/index.html

Citation

Nelson, D. L., et al. (2004). "The University of South Florida free association, rhyme, and word fragment norms." Behavior Research Methods, Instruments, & Computers36(3): 402-407.

Cue_MeanConn

Cue_MeanConn

Source

Nelson04

Name in Source Database

QMC

Definition

The number of connections among the associates in a set divided by the size of the set, which captures the density and in some sense the level of organization among the strongest associates of the cue.

Number of Items

5018

URL

http://w3.usf.edu/FreeAssociation/AppendixA/index.html

Citation

Nelson, D. L., et al. (2004). "The University of South Florida free association, rhyme, and word fragment norms." Behavior Research Methods, Instruments, & Computers36(3): 402-407.

Cue_Prob

Cue_Prob

Source

Nelson04

Name in Source Database

QPR

Definition

The probability that each associate in a set produces the normed cue as an associate.

Number of Items

5018

URL

http://w3.usf.edu/FreeAssociation/AppendixA/index.html

Citation

Nelson, D. L., et al. (2004). "The University of South Florida free association, rhyme, and word fragment norms." Behavior Research Methods, Instruments, & Computers36(3): 402-407.

Cue_ResoStrength

Cue_ResoStrength

Source

Nelson04

Name in Source Database

QRSG

Definition

Cue resonance strength. This is calculated by cross-multiplying cue-to-associate strength by associate-to-cue strength for each associate in a set and then summing the result.

Number of Items

5018

URL

http://w3.usf.edu/FreeAssociation/AppendixA/index.html

Citation

Nelson, D. L., et al. (2004). "The University of South Florida free association, rhyme, and word fragment norms." Behavior Research Methods, Instruments, & Computers36(3): 402-407.

Word2Vec

Word2Vec

Source

Word2Vec

Name in Source Database

NA

Definition

Vectors created from 300 hidden layer linear neuron in the neural net model trained on the Google news dataset.

Number of Items

38532

URL

https://code.google.com/archive/p/word2vec/

Citation

Mikolov, T., et al. (2013). "Efficient estimation of word representations in vector space." arXiv preprint arXiv:1301.3781.

GloVe

GloVe

Source

GloVe

Name in Source Database

NA

Definition

Vectors created from an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus.

Number of Items

400002

URL

https://nlp.stanford.edu/projects/glove/

Citation

Pennington, J., Socher, R., & Manning, C. D. (2014, October). Glove: Global vectors for word representation. In Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP) (pp. 1532-1543).

Taxonomic

Taxonomic

Source

Roller16

Name in Source Database

NA

Definition

Vectors created from a model that exploits behavior as a method of feature extraction.

Number of Items

225045

Citation

Roller, S., & Erk, K. (2016). Relations such as hypernymy: Identifying and exploiting hearst patterns in distributional vectors for lexical entailment. arXiv preprint arXiv:1605.05433.

fastText

fastText

Source

fastText

Name in Source Database

NA

Definition

Vectors derived from pretrained models on wiki+news

Number of Items

999995

URL

https://fasttext.cc/docs/en/english-vectors.html

Citation

Mikolov, T., Grave, E., Bojanowski, P., Puhrsch, C., & Joulin, A. (2017). Advances in pre-training distributed word representations. arXiv preprint arXiv:1712.09405.

Phonographic_N

Phonographic_N

Source

ELP

Name in Source Database

OG_N

Definition

The number of words that can be obtained by changing one letter and one phoneme while preserving the identity and position of the other letters and phonemes.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

Phonographic_N_Freq

Phonographic_N_Freq

Source

ELP

Name in Source Database

Freq_N_OG

Definition

The average frequency of the phonographic neighborhood of the particular word.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

Consistency_Token_FF_O

Consistency_Token_FF_O

Source

Chee20

Name in Source Database

Token consistency: Feedforward consistency

Definition

The spelling-to-sound consistency measure, in which a given word’s log frequencies of friends are divided by its total log frequencies of friends and enemies. In addition to the composite value, this measure also includes token feedforward onset (Consistency_Token_FF_O), nucleus (Consistency_Token_FF_N), coda (Consistency_Token_FF_C), oncleus (Consistency_Token_FF_ON), and rime (Consistency_Token_FF_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Token_FF_N

Consistency_Token_FF_N

Source

Chee20

Name in Source Database

Token consistency: Feedforward consistency

Definition

The spelling-to-sound consistency measure, in which a given word’s log frequencies of friends are divided by its total log frequencies of friends and enemies. In addition to the composite value, this measure also includes token feedforward onset (Consistency_Token_FF_O), nucleus (Consistency_Token_FF_N), coda (Consistency_Token_FF_C), oncleus (Consistency_Token_FF_ON), and rime (Consistency_Token_FF_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Token_FF_C

Consistency_Token_FF_C

Source

Chee20

Name in Source Database

Token consistency: Feedforward consistency

Definition

The spelling-to-sound consistency measure, in which a given word’s log frequencies of friends are divided by its total log frequencies of friends and enemies. In addition to the composite value, this measure also includes token feedforward onset (Consistency_Token_FF_O), nucleus (Consistency_Token_FF_N), coda (Consistency_Token_FF_C), oncleus (Consistency_Token_FF_ON), and rime (Consistency_Token_FF_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Token_FF_ON

Consistency_Token_FF_ON

Source

Chee20

Name in Source Database

Token consistency: Feedforward consistency

Definition

The spelling-to-sound consistency measure, in which a given word’s log frequencies of friends are divided by its total log frequencies of friends and enemies. In addition to the composite value, this measure also includes token feedforward onset (Consistency_Token_FF_O), nucleus (Consistency_Token_FF_N), coda (Consistency_Token_FF_C), oncleus (Consistency_Token_FF_ON), and rime (Consistency_Token_FF_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Token_FF_R

Consistency_Token_FF_R

Source

Chee20

Name in Source Database

Token consistency: Feedforward consistency

Definition

The spelling-to-sound consistency measure, in which a given word’s log frequencies of friends are divided by its total log frequencies of friends and enemies. In addition to the composite value, this measure also includes token feedforward onset (Consistency_Token_FF_O), nucleus (Consistency_Token_FF_N), coda (Consistency_Token_FF_C), oncleus (Consistency_Token_FF_ON), and rime (Consistency_Token_FF_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Token_FF

Consistency_Token_FF

Source

Chee20

Name in Source Database

Token consistency: Feedforward consistency

Definition

The spelling-to-sound consistency measure, in which a given word’s log frequencies of friends are divided by its total log frequencies of friends and enemies. In addition to the composite value, this measure also includes token feedforward onset (Consistency_Token_FF_O), nucleus (Consistency_Token_FF_N), coda (Consistency_Token_FF_C), oncleus (Consistency_Token_FF_ON), and rime (Consistency_Token_FF_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Token_FB_O

Consistency_Token_FB_O

Source

Chee20

Name in Source Database

Token consistency: Feedback consistency

Definition

The sound-to-spelling consistency measure, in which a given word’s log frequencies of friends are divided by its total log frequencies of friends and enemies. In addition to the composite value, this measure also includes token feedback onset (Consistency_Token_FB_O), nucleus (Consistency_Token_FB_N), coda (Consistency_Token_FB_C), oncleus (Consistency_Token_FB_ON), and rime (Consistency_Token_FB_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Token_FB_N

Consistency_Token_FB_N

Source

Chee20

Name in Source Database

Token consistency: Feedback consistency

Definition

The sound-to-spelling consistency measure, in which a given word’s log frequencies of friends are divided by its total log frequencies of friends and enemies. In addition to the composite value, this measure also includes token feedback onset (Consistency_Token_FB_O), nucleus (Consistency_Token_FB_N), coda (Consistency_Token_FB_C), oncleus (Consistency_Token_FB_ON), and rime (Consistency_Token_FB_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Token_FB_C

Consistency_Token_FB_C

Source

Chee20

Name in Source Database

Token consistency: Feedback consistency

Definition

The sound-to-spelling consistency measure, in which a given word’s log frequencies of friends are divided by its total log frequencies of friends and enemies. In addition to the composite value, this measure also includes token feedback onset (Consistency_Token_FB_O), nucleus (Consistency_Token_FB_N), coda (Consistency_Token_FB_C), oncleus (Consistency_Token_FB_ON), and rime (Consistency_Token_FB_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Token_FB_ON

Consistency_Token_FB_ON

Source

Chee20

Name in Source Database

Token consistency: Feedback consistency

Definition

The sound-to-spelling consistency measure, in which a given word’s log frequencies of friends are divided by its total log frequencies of friends and enemies. In addition to the composite value, this measure also includes token feedback onset (Consistency_Token_FB_O), nucleus (Consistency_Token_FB_N), coda (Consistency_Token_FB_C), oncleus (Consistency_Token_FB_ON), and rime (Consistency_Token_FB_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Token_FB_R

Consistency_Token_FB_R

Source

Chee20

Name in Source Database

Token consistency: Feedback consistency

Definition

The sound-to-spelling consistency measure, in which a given word’s log frequencies of friends are divided by its total log frequencies of friends and enemies. In addition to the composite value, this measure also includes token feedback onset (Consistency_Token_FB_O), nucleus (Consistency_Token_FB_N), coda (Consistency_Token_FB_C), oncleus (Consistency_Token_FB_ON), and rime (Consistency_Token_FB_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Token_FB

Consistency_Token_FB

Source

Chee20

Name in Source Database

Token consistency: Feedback consistency

Definition

The sound-to-spelling consistency measure, in which a given word’s log frequencies of friends are divided by its total log frequencies of friends and enemies. In addition to the composite value, this measure also includes token feedback onset (Consistency_Token_FB_O), nucleus (Consistency_Token_FB_N), coda (Consistency_Token_FB_C), oncleus (Consistency_Token_FB_ON), and rime (Consistency_Token_FB_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Type_FF_O

Consistency_Type_FF_O

Source

Chee20

Name in Source Database

Type consistency: Feedforward consistency

Definition

The spelling-to-sound consistency measure, in which a given word’s number of friends were divided by its total number of friends and enemies. In addition to the composite value, this measure also includes type feedforward onset (Consistency_Type_FF_O), nucleus (Consistency_Type_FF_N), coda (Consistency_Type_FF_C), oncleus (Consistency_Type_FF_ON), and rime (Consistency_Type_FF_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Type_FF_N

Consistency_Type_FF_N

Source

Chee20

Name in Source Database

Type consistency: Feedforward consistency

Definition

The spelling-to-sound consistency measure, in which a given word’s number of friends were divided by its total number of friends and enemies. In addition to the composite value, this measure also includes type feedforward onset (Consistency_Type_FF_O), nucleus (Consistency_Type_FF_N), coda (Consistency_Type_FF_C), oncleus (Consistency_Type_FF_ON), and rime (Consistency_Type_FF_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Type_FF_C

Consistency_Type_FF_C

Source

Chee20

Name in Source Database

Type consistency: Feedforward consistency

Definition

The spelling-to-sound consistency measure, in which a given word’s number of friends were divided by its total number of friends and enemies. In addition to the composite value, this measure also includes type feedforward onset (Consistency_Type_FF_O), nucleus (Consistency_Type_FF_N), coda (Consistency_Type_FF_C), oncleus (Consistency_Type_FF_ON), and rime (Consistency_Type_FF_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Type_FF_ON

Consistency_Type_FF_ON

Source

Chee20

Name in Source Database

Type consistency: Feedforward consistency

Definition

The spelling-to-sound consistency measure, in which a given word’s number of friends were divided by its total number of friends and enemies. In addition to the composite value, this measure also includes type feedforward onset (Consistency_Type_FF_O), nucleus (Consistency_Type_FF_N), coda (Consistency_Type_FF_C), oncleus (Consistency_Type_FF_ON), and rime (Consistency_Type_FF_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Type_FF_R

Consistency_Type_FF_R

Source

Chee20

Name in Source Database

Type consistency: Feedforward consistency

Definition

The spelling-to-sound consistency measure, in which a given word’s number of friends were divided by its total number of friends and enemies. In addition to the composite value, this measure also includes type feedforward onset (Consistency_Type_FF_O), nucleus (Consistency_Type_FF_N), coda (Consistency_Type_FF_C), oncleus (Consistency_Type_FF_ON), and rime (Consistency_Type_FF_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Type_FF

Consistency_Type_FF

Source

Chee20

Name in Source Database

Type consistency: Feedforward consistency

Definition

The spelling-to-sound consistency measure, in which a given word’s number of friends were divided by its total number of friends and enemies. In addition to the composite value, this measure also includes type feedforward onset (Consistency_Type_FF_O), nucleus (Consistency_Type_FF_N), coda (Consistency_Type_FF_C), oncleus (Consistency_Type_FF_ON), and rime (Consistency_Type_FF_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Type_FB_O

Consistency_Type_FB_O

Source

Chee20

Name in Source Database

Type consistency: Feedback consistency

Definition

The sound-to-spelling consistency measure, in which a given word’s number of friends were divided by its total number of friends and enemies. In addition to the composite value, this measure also includes type feedback onset (Consistency_Type_FB_O), nucleus (Consistency_Type_FB_N), coda (Consistency_Type_FB_C), oncleus (Consistency_Type_FB_ON), and rime (Consistency_Type_FB_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Type_FB_N

Consistency_Type_FB_N

Source

Chee20

Name in Source Database

Type consistency: Feedback consistency

Definition

The sound-to-spelling consistency measure, in which a given word’s number of friends were divided by its total number of friends and enemies. In addition to the composite value, this measure also includes type feedback onset (Consistency_Type_FB_O), nucleus (Consistency_Type_FB_N), coda (Consistency_Type_FB_C), oncleus (Consistency_Type_FB_ON), and rime (Consistency_Type_FB_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Type_FB_C

Consistency_Type_FB_C

Source

Chee20

Name in Source Database

Type consistency: Feedback consistency

Definition

The sound-to-spelling consistency measure, in which a given word’s number of friends were divided by its total number of friends and enemies. In addition to the composite value, this measure also includes type feedback onset (Consistency_Type_FB_O), nucleus (Consistency_Type_FB_N), coda (Consistency_Type_FB_C), oncleus (Consistency_Type_FB_ON), and rime (Consistency_Type_FB_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Type_FB_ON

Consistency_Type_FB_ON

Source

Chee20

Name in Source Database

Type consistency: Feedback consistency

Definition

The sound-to-spelling consistency measure, in which a given word’s number of friends were divided by its total number of friends and enemies. In addition to the composite value, this measure also includes type feedback onset (Consistency_Type_FB_O), nucleus (Consistency_Type_FB_N), coda (Consistency_Type_FB_C), oncleus (Consistency_Type_FB_ON), and rime (Consistency_Type_FB_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Type_FB_R

Consistency_Type_FB_R

Source

Chee20

Name in Source Database

Type consistency: Feedback consistency

Definition

The sound-to-spelling consistency measure, in which a given word’s number of friends were divided by its total number of friends and enemies. In addition to the composite value, this measure also includes type feedback onset (Consistency_Type_FB_O), nucleus (Consistency_Type_FB_N), coda (Consistency_Type_FB_C), oncleus (Consistency_Type_FB_ON), and rime (Consistency_Type_FB_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

Consistency_Type_FB

Consistency_Type_FB

Source

Chee20

Name in Source Database

Type consistency: Feedback consistency

Definition

The sound-to-spelling consistency measure, in which a given word’s number of friends were divided by its total number of friends and enemies. In addition to the composite value, this measure also includes type feedback onset (Consistency_Type_FB_O), nucleus (Consistency_Type_FB_N), coda (Consistency_Type_FB_C), oncleus (Consistency_Type_FB_ON), and rime (Consistency_Type_FB_R) consistency.

Number of Items

37677

URL

https://link.springer.com/article/10.3758/s13428-020-01391-7#Sec22

Citation

Chee, Q. W., et al. (2020). "Consistency norms for 37,677 english words." Behavior Research Methods.

NMorph

NMorph

Source

ELP

Name in Source Database

NMorph

Definition

The number of morphemes in a word.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

PRS_signature

PRS_signature

Source

MorphoLex

Name in Source Database

PRS_signature

Definition

A prefix-root-suffix signature. For example, words that include one suffix and one root, but no prefix, share a 0-1-1 PRS signature.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

ROOT1_Freq_HAL

ROOT1_Freq_HAL

Source

MorphoLex

Name in Source Database

ROOT1_Freq_HAL

Definition

The summed frequency of all members in the morphological family of a morpheme.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

ROOT2_Freq_HAL

ROOT2_Freq_HAL

Source

MorphoLex

Name in Source Database

ROOT2_Freq_HAL

Definition

The summed frequency of all members in the morphological family of a morpheme.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

ROOT3_Freq_HAL

ROOT3_Freq_HAL

Source

MorphoLex

Name in Source Database

ROOT3_Freq_HAL

Definition

The summed frequency of all members in the morphological family of a morpheme.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF1_Freq_HAL

SUFF1_Freq_HAL

Source

MorphoLex

Name in Source Database

SUFF1_Freq_HAL

Definition

The summed frequency of all members in the morphological family of a morpheme.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF2_Freq_HAL

SUFF2_Freq_HAL

Source

MorphoLex

Name in Source Database

SUFF1_Freq_HAL

Definition

The summed frequency of all members in the morphological family of a morpheme.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF3_Freq_HAL

SUFF3_Freq_HAL

Source

MorphoLex

Name in Source Database

SUFF1_Freq_HAL

Definition

The summed frequency of all members in the morphological family of a morpheme.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF4_Freq_HAL

SUFF4_Freq_HAL

Source

MorphoLex

Name in Source Database

SUFF1_Freq_HAL

Definition

The summed frequency of all members in the morphological family of a morpheme.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

ROOT1_FamSize

ROOT1_FamSize

Source

MorphoLex

Name in Source Database

ROOT1_FamSize

Definition

The number of word types in which a given morpheme is a constituent. It was computed by counting all its types in the ELP database.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

ROOT2_FamSize

ROOT2_FamSize

Source

MorphoLex

Name in Source Database

ROOT2_FamSize

Definition

The number of word types in which a given morpheme is a constituent. It was computed by counting all its types in the ELP database.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

ROOT3_FamSize

ROOT3_FamSize

Source

MorphoLex

Name in Source Database

ROOT3_FamSize

Definition

The number of word types in which a given morpheme is a constituent. It was computed by counting all its types in the ELP database.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF1_FamSize

SUFF1_FamSize

Source

MorphoLex

Name in Source Database

SUFF1_FamSize

Definition

The number of word types in which a given morpheme is a constituent. It was computed by counting all its types in the ELP database.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF2_FamSize

SUFF2_FamSize

Source

MorphoLex

Name in Source Database

SUFF1_FamSize

Definition

The number of word types in which a given morpheme is a constituent. It was computed by counting all its types in the ELP database.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF3_FamSize

SUFF3_FamSize

Source

MorphoLex

Name in Source Database

SUFF1_FamSize

Definition

The number of word types in which a given morpheme is a constituent. It was computed by counting all its types in the ELP database.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF4_FamSize

SUFF4_FamSize

Source

MorphoLex

Name in Source Database

SUFF1_FamSize

Definition

The number of word types in which a given morpheme is a constituent. It was computed by counting all its types in the ELP database.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

ROOT1_PFMF

ROOT1_PFMF

Source

MorphoLex

Name in Source Database

ROOT1_PFMF

Definition

Percentage of other words in the family that are more frequent. It was computed by dividing the number of more frequent words in the family by the total number of members in the family minus one.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

ROOT2_PFMF

ROOT2_PFMF

Source

MorphoLex

Name in Source Database

ROOT2_PFMF

Definition

Percentage of other words in the family that are more frequent. It was computed by dividing the number of more frequent words in the family by the total number of members in the family minus one.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

ROOT3_PFMF

ROOT3_PFMF

Source

MorphoLex

Name in Source Database

ROOT3_PFMF

Definition

Percentage of other words in the family that are more frequent. It was computed by dividing the number of more frequent words in the family by the total number of members in the family minus one.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF1_PFMF

SUFF1_PFMF

Source

MorphoLex

Name in Source Database

SUFF1_PFMF

Definition

Percentage of other words in the family that are more frequent. It was computed by dividing the number of more frequent words in the family by the total number of members in the family minus one.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF2_PFMF

SUFF2_PFMF

Source

MorphoLex

Name in Source Database

SUFF1_PFMF

Definition

Percentage of other words in the family that are more frequent. It was computed by dividing the number of more frequent words in the family by the total number of members in the family minus one.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF3_PFMF

SUFF3_PFMF

Source

MorphoLex

Name in Source Database

SUFF1_PFMF

Definition

Percentage of other words in the family that are more frequent. It was computed by dividing the number of more frequent words in the family by the total number of members in the family minus one.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF4_PFMF

SUFF4_PFMF

Source

MorphoLex

Name in Source Database

SUFF1_PFMF

Definition

Percentage of other words in the family that are more frequent. It was computed by dividing the number of more frequent words in the family by the total number of members in the family minus one.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF1_length

SUFF1_length

Source

MorphoLex

Name in Source Database

SUFF1_length

Definition

The number of letters of a suffix.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF2_length

SUFF2_length

Source

MorphoLex

Name in Source Database

SUFF1_length

Definition

The number of letters of a suffix.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF3_length

SUFF3_length

Source

MorphoLex

Name in Source Database

SUFF1_length

Definition

The number of letters of a suffix.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF4_length

SUFF4_length

Source

MorphoLex

Name in Source Database

SUFF1_length

Definition

The number of letters of a suffix.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF1_P

SUFF1_P

Source

MorphoLex

Name in Source Database

SUFF1_P

Definition

Affix productivity, which was computed by dividing all hapaxes in the corpus that contain a morpheme by the summed token frequeny of a morpheme.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF1_Px

SUFF1_Px

Source

MorphoLex

Name in Source Database

SUFF1_P.

Definition

Affix productivity, which was computed by dividing all hapaxes in the corpus that contain a morpheme by the total of all hapax legomena in the corpus.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF2_P

SUFF2_P

Source

MorphoLex

Name in Source Database

SUFF1_P

Definition

Affix productivity, which was computed by dividing all hapaxes in the corpus that contain a morpheme by the summed token frequeny of a morpheme.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF2_Px

SUFF2_Px

Source

MorphoLex

Name in Source Database

SUFF1_P.

Definition

Affix productivity, which was computed by dividing all hapaxes in the corpus that contain a morpheme by the total of all hapax legomena in the corpus.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF3_P

SUFF3_P

Source

MorphoLex

Name in Source Database

SUFF1_P

Definition

Affix productivity, which was computed by dividing all hapaxes in the corpus that contain a morpheme by the summed token frequeny of a morpheme.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF3_Px

SUFF3_Px

Source

MorphoLex

Name in Source Database

SUFF1_P.

Definition

Affix productivity, which was computed by dividing all hapaxes in the corpus that contain a morpheme by the total of all hapax legomena in the corpus.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF4_P

SUFF4_P

Source

MorphoLex

Name in Source Database

SUFF1_P

Definition

Affix productivity, which was computed by dividing all hapaxes in the corpus that contain a morpheme by the summed token frequeny of a morpheme.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

SUFF4_Px

SUFF4_Px

Source

MorphoLex

Name in Source Database

SUFF1_P.

Definition

Affix productivity, which was computed by dividing all hapaxes in the corpus that contain a morpheme by the total of all hapax legomena in the corpus.

Number of Items

57619

URL

https://github.com/hugomailhot/MorphoLex-en

Citation

Sánchez-Gutiérrez, C. H., et al. (2018). "MorphoLex: A derivational morphological database for 70,000 English words." Behavior Research Methods50(4): 1568-1580.

LexicalD_RT_V_ELP

LexicalD_RT_V_ELP

Source

ELP

Name in Source Database

I_Mean_RT

Definition

The mean visual lexical decision latency (in msec) for a particular word across participants from the English Lexicon Project.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

LexicalD_RT_V_ECP

LexicalD_RT_V_ECP

Source

ECP

Name in Source Database

rt_mean

Definition

The mean visual lexical decision latency (in msec) for a particular word in the word knowledge task across participants from the English Crowdsourcing Project. This task is similar, but not identical, to the traditional lexical decision task. Participants were asked to indicate whether each item “is a word you know or not.” Their results showed that RTs in this task correlate well with those from lexical decision in ELP and BLP, and hence we have labeled it as such. It should be noted that in this task, participants were not instructed to respond quickly, and were discouraged to guess (large penalty for labelling nonwords as a known word).

Number of Items

61851

URL

https://osf.io/rpx87/

Citation

Mandera, P., et al. (2019). "Recognition times for 62 thousand English words: Data from the English Crowdsourcing Project." Behavior Research Methods: 1-20.

LexicalD_RT_V_BLP

LexicalD_RT_V_BLP

Source

BLP

Name in Source Database

rt

Definition

The mean visual lexical decision latency (in msec) for a particular word across participants from the British Lexicon Project.

Number of Items

28515

URL

https://link.springer.com/article/10.3758/s13428-011-0118-4#SecESM1

Citation

Keuleers, E., et al. (2012). "The British Lexicon Project: Lexical decision data for 28,730 monosyllabic and disyllabic English words." Behavior Research Methods44(1): 287-304.

LexicalD_RT_V_ELP_z

LexicalD_RT_V_ELP_z

Source

ELP

Name in Source Database

I_Mean_RT

Definition

Normalized version of the LexicalD_RT_V_ELP.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

LexicalD_RT_V_ECP_z

LexicalD_RT_V_ECP_z

Source

ECP

Name in Source Database

rt_mean

Definition

Normalized version of the LexicalD_RT_V_ECP.

Number of Items

61851

URL

https://osf.io/rpx87/

Citation

Mandera, P., et al. (2019). "Recognition times for 62 thousand English words: Data from the English Crowdsourcing Project." Behavior Research Methods: 1-20.

LexicalD_RT_V_BLP_z

LexicalD_RT_V_BLP_z

Source

BLP

Name in Source Database

rt

Definition

Normalized version of the LexicalD_RT_V_BLP.

Number of Items

28515

URL

https://link.springer.com/article/10.3758/s13428-011-0118-4#SecESM1

Citation

Keuleers, E., et al. (2012). "The British Lexicon Project: Lexical decision data for 28,730 monosyllabic and disyllabic English words." Behavior Research Methods44(1): 287-304.

LexicalD_ACC_V_ELP

LexicalD_ACC_V_ELP

Source

ELP

Name in Source Database

I_Mean_Accuracy

Definition

The proportion of accurate responses of visual lexical decision for a particular word from the English Lexicon Project.

Number of Items

79672

URL

https://elexicon.wustl.edu/

Citation

Balota, D. A., et al. (2007). "The English lexicon project." Behavior Research Methods39(3): 445-459.

LexicalD_ACC_V_ECP

LexicalD_ACC_V_ECP

Source

ECP

Name in Source Database

accuracy

Definition

The proportion of accurate responses of visual lexical decision for a particular word from the English Crowdsourcing Project.

Number of Items

61851

URL

https://osf.io/rpx87/

Citation

Mandera, P., et al. (2019). "Recognition times for 62 thousand English words: Data from the English Crowdsourcing Project." Behavior Research Methods: 1-20.

LexicalD_ACC_V_BLP

LexicalD_ACC_V_BLP

Source

BLP

Name in Source Database

accuracy

Definition

The proportion of accurate responses of visual lexical decision for a particular word from the British Lexicon Project.

Number of Items

28515

URL

https://link.springer.com/article/10.3758/s13428-011-0118-4#SecESM1

Citation

Keuleers, E., et al. (2012). "The British Lexicon Project: Lexical decision data for 28,730 monosyllabic and disyllabic English words." Behavior Research Methods44(1): 287-304.

LexicalD_RT_A_MALD

LexicalD_RT_A_MALD

Source

MALD

Name in Source Database

RT

Definition

The mean auditory lexical decision latency (in msec) for a particular word from the Massive Auditory Lexical Decision database.

Number of Items

26522

URL

http://aphl.artsrn.ualberta.ca/?page_id=827https://link.springer.com/article/10.3758/s13428-018-1056-1

Citation

Tucker, B. V., et al. (2019). "The massive auditory lexical decision (MALD) database." Behavior Research Methods51(3): 1187-1204.

LexicalD_RT_A_AELP

LexicalD_RT_A_AELP

Source

AELP

Name in Source Database

LDT Reaction Time

Definition

The mean auditory lexical decision latency (in msec) for a particular word from the Auditory English Lexicon Project.

Number of Items

10101

URL

https://inetapps.nus.edu.sg/aelp/

Citation

Goh, W. D., et al. (2020). "The Auditory English Lexicon Project: A multi-talker, multi-region psycholinguistic database of 10,170 spoken words and nonwords." Behavior Research Methods: 1-30.

LexicalD_RT_A_MALD_z

LexicalD_RT_A_MALD_z

Source

MALD

Name in Source Database

RT

Definition

The mean auditory lexical decision latency (in msec) for a particular word from the Massive Auditory Lexical Decision database.

Number of Items

10101

URL

http://aphl.artsrn.ualberta.ca/?page_id=827https://link.springer.com/article/10.3758/s13428-018-1056-1

Citation

Tucker, B. V., et al. (2019). "The massive auditory lexical decision (MALD) database." Behavior Research Methods51(3): 1187-1204.

LexicalD_RT_A_AELP_z

LexicalD_RT_A_AELP_z

Source

AELP

Name in Source Database

LDT Reaction Time

Definition

The mean auditory lexical decision latency (in msec) for a particular word from the Auditory English Lexicon Project.

Number of Items

10101

URL

https://inetapps.nus.edu.sg/aelp/

Citation

Goh, W. D., et al. (2020). "The Auditory English Lexicon Project: A multi-talker, multi-region psycholinguistic database of 10,170 spoken words and nonwords." Behavior Research Methods: 1-30.

LexicalD_ACC_A_MALD

LexicalD_ACC_A_MALD

Source

MALD

Name in Source Database

ACC

Definition

The proportion of accurate responses of auditory lexical decision for a particular word from the Massive Auditory Lexical Decision database.

Number of Items

26793

URL

http://aphl.artsrn.ualberta.ca/?page_id=827https://link.springer.com/article/10.3758/s13428-018-1056-1

Citation

Tucker, B. V., et al. (2019). "The massive auditory lexical decision (MALD) database." Behavior Research Methods51(3): 1187-1204.

LexicalD_ACC_A_AELP

LexicalD_ACC_A_AELP

Source

AELP

Name in Source Database

LDT Accuracy

Definition

The proportion of accurate responses of auditory lexical decision for a particular word from the Auditory English Lexicon Project.

Number of Items

10103

URL

https://inetapps.nus.edu.sg/aelp/

Citation

Goh, W. D., et al. (2020). "The Auditory English Lexicon Project: A multi-talker, multi-region psycholinguistic database of 10,170 spoken words and nonwords." Behavior Research Methods: 1-30.