Adding part-of-speech information to the SUBTLEX-US word frequencies

Behavior Research Methods

Volumn 44, Issue 4, 2012, Pages 991-997

  Brysbaert, Marc ^a   New, Boris ^b   Keuleers, Emmanuel ^a  

^a GHENT UNIVERSITY   (Belgium)

^b UNIVERSITÉ PARIS DESCARTES   (France)

Author keywords

Lexical decision; Part of speech information; Subtitles; SUBTLEX; Word frequency

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATION; HUMAN; LANGUAGE; LINGUISTICS; METHODOLOGY; NOMENCLATURE;

ALGORITHMS; HUMANS; LANGUAGE; PSYCHOLINGUISTICS; TERMINOLOGY AS TOPIC; VOCABULARY; WORD PROCESSING;

EID: 84870555562     PISSN: 1554351X     EISSN: 15543528     Source Type: Journal    
DOI: 10.3758/s13428-012-0190-4     Document Type: Article

References (24)

1. Baayen, R. H., Dijkstra, T., & Schreuder, R. (1997). Singulars and plurals in Dutch: Evidence for a parallel dual-route model. Journal of Memory and Language, 37, 94-117. doi: 10. 1006/jmla. 1997. 2509.
2. Baayen, R. H., Feldman, L. B., & Schreuder, R. (2006). Morphological influences on the recognition of monosyllabic monomorphemic words. Journal of Memory and Language, 55, 290-313. doi: 10. 1016/j. jml. 2006. 03. 008.
3. Baayen, R. H., Piepenbrock, R., & van Rijn, H. (1993). The CELEX lexical database (CD-ROM). Philadelphia, PA: Linguistic Data Consortium, University of Pennsylvania.
4. Balota, D. A., Yap, M. J., Cortese, M. J., Hutchison, K. A., Kessler, B., Loftis, B., . . . Treiman, R. (2007). The English Lexicon Project. Behavior Research Methods, 39, 445-459. doi: 10. 3758/BF03193014.
5. Brysbaert, M., Buchmeier, M., Conrad, M., Jacobs, A. M., Bölte, J., & Böhl, A. (2011). The word frequency effect: A review of recent developments and implications for the choice of frequency estimates in German. Experimental Psychology, 58, 412-424.
6. Brysbaert, M., Keuleers, E., & New, B. (2011). Assessing the usefulness of Google Books' word frequencies for psycholinguistic research on word processing. Frontiers in Psychology, 2, 27.
7. Brysbaert, M., & New, B. (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 Methods, 41, 977-990. doi: 10. 3758/BRM. 41. 4. 977.
8. Cai, Q., & Brysbaert, M. (2010). SUBTLEX-CH: Chinese word and character frequencies based on film subtitles. PLoS One, 5, e10729. doi: 10. 1371/journal. pone. 0010729.
9. Cuetos, F., Glez-Nosti, M., Barbón, A., & Brysbaert, M. (2011). SUBTLEX-ESP: Spanish word frequencies based on film subtitles. Psicológica, 32, 133-143.
10. Davies, M. (2008). The corpus of contemporary American English: 425 million words, 1990-present (Database). Available at http://corpus. byu. edu/coca/.
11. Dimitropoulou, M., Duñabeitia, J. A., Avilés, A., Corral, J., & Carreiras, M. (2010). Subtitle-based word frequencies as the best estimate of reading behavior: The case of Greek. Frontiers in Language Sciences, 1, 218. doi: 10. 3389/fpsyg. 2010. 00218.
12. Francis, W. N., & Kučera, H. (1982). Frequency analysis of English usage: Lexicon and grammar. Boston, MA: Houghton Mifflin.
13. Garside, R. (1996). The robust tagging of unrestricted text: The BNC experience. In J. Thomas & M. Short (Eds.), Using corpora for language research: Studies in honour of Geoffrey Leech (pp. 167-180). London: Longman.
14. Garside, R., Leech, G., & McEnery, A. (Eds.). (1997). Corpus annotation. London: Longman.
15. Keuleers, E., Brysbaert, M., & New, B. (2010). SUBTLEX-NL: A new measure for Dutch word frequency based on film subtitles. Behavior Research Methods, 42, 643-650. doi: 10. 3758/BRM. 42. 3. 643.
16. Keuleers, E., Lacey, P., Rastle, K., & Brysbaert, M. (2012). The British Lexicon Project: Lexical decision data for 28, 730 monosyllabic and disyllabic English words. Behavior Research Methods, 44, 287-304.
17. Knowles, G., & Don, Z. M. (2004). The notion of a lemma: Headwords, roots and lexical sets. International Journal of Corpus Linguistics, 9, 69-81.
18. Kučera, H., & Francis, W. N. (1967). Computational analysis of present-day American English. Providence, RI: Brown University Press.
19. Martín, F. M. D., Kostić, A., & Baayen, R. H. (2004). Putting the bits together: An information theoretical perspective on morphological processing. Cognition, 94, 1-18. doi: 10. 1016/j. cognition. 2003. 10. 015.
20. New, B., Brysbaert, M., Segui, J., Ferrand, L., & Rastle, K. (2004). The processing of singular and plural nouns in French and English. Journal of Memory and Language, 51, 568-585. doi: 10. 1016/j. jml. 2004. 06. 010.
21. New, B., Brysbaert, M., Veronis, J., & Pallier, C. (2007). The use of film subtitles to estimate word frequencies. Applied PsychoLinguistics, 28, 661-677.
22. Pulvermüller, F. (1999). Words in the brain's language. The Behavioral and Brain Sciences, 22, 253-279.
23. Sereno, J. A., & Jongman, A. (1997). Processing of English inflectional morphology. Memory & Cognition, 25, 425-437. doi: 10. 3758/BF03201119.
24. Yang, J., Tan, L. H., & Li, P. (2011). Lexical representation of nouns and verbs in the late bilingual brain. Journal of Neurolinguistics, 24, 674-682.