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Article published In: Graded Resources for Second and Foreign Language Learning
Edited by David Alfter and Thomas François
[ITL - International Journal of Applied Linguistics 175:1] 2024
► pp. 2545

References (60)
References
Alfter, D., & Volodina, E. (2018). Towards single word lexical complexity prediction. In Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 79–88. New Orleans, Louisiana, June 5, 2018. [URL].
Biemiller, A. (2010). Words worth teaching: Closing the vocabulary gap. Columbus: McGraw-Hill.Google Scholar logo with link to Google Scholar
Biemiller, A., & Slonim, N. (2001). Estimating root word vocabulary growth in normative and advantaged populations: Evidence for a common sequence of vocabulary acquisition. Journal of Educational Psychology, 931, 498–520. Google Scholar logo with link to Google Scholar
Botarleanu, R. M., Dascalu, M., Watanabe, M., Crossley, S. A., McNamara, D. S. (2022). Age of Exposure 2.0: Estimating word complexity using iterative models of word embeddings. Behavior Research Methods, (541), 3015–3042. Google Scholar logo with link to Google Scholar
Breland, H. (1996). Word frequency and word difficulty: a comparison of counts in four corpora. Psychological Science, 7:2, 96–99. Google Scholar logo with link to Google Scholar
Brysbaert, M., & Biemiller, A. (2017). Test based age of acquisition norms for 44 thousand English word meanings. Behavior Research Methods, 491, 1520–1523. Google Scholar logo with link to Google Scholar
Brysbaert, M., Keuleers, E., & Mandera, P. (2021). Which words do English non-native speakers know? New supernational levels based on yes/no decision. Second Language Research, 37(2), 207–231. Google Scholar logo with link to Google Scholar
Brysbaert, M., Mandera, P., McCormick, S. F., & Keuleers, E. (2019). Word prevalence norms for 62,000 English lemmas. Behavior Research Methods, 511, 467–479. Google Scholar logo with link to Google Scholar
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, 411, 977–990. Google Scholar logo with link to Google Scholar
Brysbaert, M., Stevens, M., Mandera, M., & Keuleers, E. (2016). How Many Words Do We Know? Practical Estimates of Vocabulary Size Dependent on Word Definition, the Degree of Language Input and the Participant’s Age. Frontiers in Psychology, 71:1116. Google Scholar logo with link to Google Scholar
Capel, A. (2012). Completing the English Vocabulary Profile: C1 and C2 vocabulary. English Profile Journal, 3(1), 1–14. Google Scholar logo with link to Google Scholar
Carroll, J. B., Davies, P., & Richman, B. (1971). The American Heritage word frequency book. New York; American Heritage Publishing Co.Google Scholar logo with link to Google Scholar
Carroll, J. B., & White, M. N. (1973). Age of acquisition norms for 220 picturable nouns. Journal of Verbal Learning & Verbal Behavior, 121, 563–576. Google Scholar logo with link to Google Scholar
Chenu, F., & Jisa, H. (2009). Reviewing some similarities and differences in L1 and L2 lexical development. Acquisition et interaction en langue étrangère, 11, 17–38. Google Scholar logo with link to Google Scholar
Chujo, K., & Oghigian, K. (2015). Examining Corpus-based L 2 Vocabulary Lists for Grade Level and Semantic Field Distribution. Journal of the College of Industrial Technology, Nihon University, Vol. 481, pp. 11–19. [URL]
Council of Europe. (2001). Common European Framework of Reference for Languages: Learning, Teaching, Assessment. Press Syndicate of the University of Cambridge.Google Scholar logo with link to Google Scholar
Dale, E., & Chall, J. (1948). A Formula for Predicting Readability. Educational Research Bulletin, 271, 11–20Google Scholar logo with link to Google Scholar
Dale, E., & O’Rourke, J. (1981). The living word vocabulary, the words we know: A national vocabulary inventory. Chicago: World Book.Google Scholar logo with link to Google Scholar
Dang, T. N. Y. (2020). Corpus-based word lists in second language vocabulary research, learning, and teaching. In S. Webb (ed.), The Routledge Handbook of Vocabulary Studies, pp.288–304. New York: Routledge.Google Scholar logo with link to Google Scholar
Dolch, E. W. (1936). A Basic Sight Vocabulary. The Elementary School Journal, 36:6, 456–460. Google Scholar logo with link to Google Scholar
Dürlich, L., & François, T. (2018). EFLLex: A Graded Lexical Resource for Learners of English as a Foreign Language. In Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018), pages 873–879.Google Scholar logo with link to Google Scholar
Ellis, N. C., Simpson-Vlach, R., & Maynard, C. (2008). Formulaic Language in Native and Second Language Speakers: Psycholinguistics, Corpus Linguistics, and TESOL. TESOL Quarterly, 42:3, 375–396. Google Scholar logo with link to Google Scholar
Firth, J. R. (1957). A Synopsis of Linguistic Theory, 1930–55. In J. R. Firth et al., Studies in Linguistic Analysis, pp. 1–31. Special Volume of the Philological Society. Oxford: Blackwell.Google Scholar logo with link to Google Scholar
Flor, M., & Beigman Klebanov, B. (2014). ETS Lexical Associations System for the COGALEX 4 Shared Task. In M. Zock, R. Rapp, Ch. R. Huang (eds.), Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon, pages 35–45; At COLING 2014 conference, Dublin, Ireland.
Gala, N., François, T., & Fairon, C. (2013). Towards a French lexicon with difficulty measures: NLP helping to bridge the gap between traditional dictionaries and specialized lexicons. eLex – Electronic Lexicography, October 2013, Tallin, Estonia. Google Scholar logo with link to Google Scholar
Gilhooly, K., & Logie, R. H. (1980). Age of acquisition, imagery, concreteness, familiarity and ambiguity measures for 1944 words. Behavior Research Methods & Instrumentation, 121, 395–427. Google Scholar logo with link to Google Scholar
Graën, J., Alfter, D., & Schneider, G. (2020). Using Multilingual Resources to Evaluate CEFRLex for Learner Applications. In the Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pages 346–355.Google Scholar logo with link to Google Scholar
Gries, S. Th. (2008). Dispersion and adjusted frequencies in corpora. International Journal of Corpus Linguistics, 13:4, 403–437. Google Scholar logo with link to Google Scholar
Harris, A. J. (1972). Rationale and Description of Basic Elementary Reading Vocabularies. Paper presented at the meeting of the International Reading Association, Detroit, Michigan, May, 1972. [URL]
Harris, A. J., & Jacobson, M. D. (1972). Basic Elementary Reading Vocabularies. New York: The Macmillan Co.Google Scholar logo with link to Google Scholar
Harris, Z. (1954). Distributional structure. Word, 10(23), pp. 146–162. Google Scholar logo with link to Google Scholar
Hiebert, E. H. (2020). The Core Vocabulary: The Foundation of Proficient Comprehension. The Reading Teacher, 73:6, pp. 757–768. Google Scholar logo with link to Google Scholar
Hiebert, E. H., Scott, J. A., Castaneda, R., & Spichtig, A. (2019). An Analysis of the Features of Words That Influence Vocabulary Difficulty. Education Sciences, 9(1), 8. Google Scholar logo with link to Google Scholar
Ivens, S. H., & Koslin, B. L. (1991). Demands for Reading Literacy Require New Accountability Methods. Touchstone Applied Science Associates.Google Scholar logo with link to Google Scholar
Kireyev, K., & Landauer, T. K. (2011). Word Maturity: Computational Modeling of Word Knowledge. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, pages 299–308, Portland, Oregon.Google Scholar logo with link to Google Scholar
Kučera, H., & Francis, W. N. (1967). Computational analysis of present-day American English, Providence, RI: Brown University Press.Google Scholar logo with link to Google Scholar
Kuperman, V., Stadthagen-Gonzalez, H., & Brysbaert, M. (2012). Age of acquisition ratings for 30,000 English words. Behavior Research Methods, 441, 978–990. Google Scholar logo with link to Google Scholar
Kyle, K., & Crossley, S. A. (2015). Automatically Assessing Lexical Sophistication: Indices, Tools, Findings, and Application. TESOL Quarterly, 49:4, 757–786. Google Scholar logo with link to Google Scholar
Laufer, B., & Nation, I. S. P. (1995). Vocabulary Size and Use: Lexical Richness in L2 Written Production. Applied Linguistics, 16:3, 307–322. Google Scholar logo with link to Google Scholar
Lété, B., Sprenger-Charolles, L., & Colé, P. (2004). MANULEX: A grade-level lexical database from French elementary school readers. Behavior Research Methods, Instruments, & Computers, 361, 156–166. Google Scholar logo with link to Google Scholar
Longman Dictionary of Contemporary English (1988). Longman Publishing GroupGoogle Scholar logo with link to Google Scholar
Mesmer, H. A., Cunningham, J. W., & Hiebert, E. H. (2012). Toward a theoretical model of text complexity for the early grades: Learning from the past, anticipating the future. Reading Research Quarterly, 47(3), 235–258. Google Scholar logo with link to Google Scholar
Michel, J. B., Shen, Y. K., Aiden, A. P., Veres, A., Gray, M. K., Brockman, W., The Google Books Team, Pickett, J. P., Hoiberg, D., Clancy, D., Norvig, P., Orwant, J., Pinker, S., Nowak, M. A., & Lieberman Aiden, E. (2011). Quantitative analysis of culture using millions of digitized books. Science, 3311, 176–182. Google Scholar logo with link to Google Scholar
Miralpeix, I. (2020). L1 and L2 Vocabulary Size and Growth. In S. Webb (ed.), The Routledge Handbook of Vocabulary Studies, pp.204–06. New York: Routledge.Google Scholar logo with link to Google Scholar
Mobärg, M. (1997). Acquiring, teaching and testing vocabulary. International Journal of Applied Linguistics, 7:2, 201–222. Google Scholar logo with link to Google Scholar
Nation, I. S. P. (2020). The Different Aspects of Vocabulary Knowledge. In S. Webb (ed.), The Routledge Handbook of Vocabulary Studies, pp. 15–29. New York: Routledge.Google Scholar logo with link to Google Scholar
(2017). The BNC/COCA Level 6 word family lists (Version 1.0.0) [Data file]. Available from [URL]
(2004). A study of the most frequent word families in the British National Corpus. In P. Bogaards & B. Laufer (eds.) Vocabulary in a Second Language: Selection, Acquisition and Testing Amsterdam: John Benjamins: 3–13. Google Scholar logo with link to Google Scholar
Nation, I. S. P., & Waring, R. (1997). Vocabulary size, text coverage, and word lists. In N. Schmitt & M. McCarthy (eds.), Vocabulary: Description, Acquisition and Pedagogy. Cambridge University Press, Cambridge: 6–19.Google Scholar logo with link to Google Scholar
The Oxford 3000 from the Oxford Advanced American Dictionary. (2019). Oxford University Press. Online resource: [URL]
Parker, R., Graff, D., Kong, J., Chen, K., & Maeda, K. (2009). Gigaword Fourth Edition. LDC2009T13. Philadelphia: Linguistic Data Consortium. Google Scholar logo with link to Google Scholar
Pelánek, R., Effenberger, T., & Čechák, J. (2022). Complexity and Difficulty of Items in Learning Systems. International Journal of Artificial Intelligence in Education, 321, 196–232. Google Scholar logo with link to Google Scholar
Shardlow, M., Evans, R., Paetzold, G. H., & Zampieri, M. (2021). SemEval 2021 Task 1: Lexical Complexity Prediction. In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval 2021), pages 1–16. Google Scholar logo with link to Google Scholar
Soares, A. P., Medeiros, J. P., Simões, A., Machado, J., Costa, A., Iriarte, A., João de Almeida, J., Pinheiro, A. P., & Comesaña, M. (2014). ESCOLEX: A grade-level lexical database from European Portuguese elementary to middle school textbooks. Behavior Research Methods, 461, 240–253. Google Scholar logo with link to Google Scholar
Taylor, S. E., Frackenpohl, H., & White, C. E. (1989). EDL Core Vocabularies in Reading, Mathematics, Science, and Social Studies. Steck Vaughn Company, Austin, Texas.Google Scholar logo with link to Google Scholar
Thorndike, E. L., & Lorge, I. (1944). The teacher’s word book of 30,000 words. New York: Bureau of Publications, Teachers College, Columbia University.Google Scholar logo with link to Google Scholar
Uemura, T., & Ishikawa, Sh. (2004). JACET 8000 and Asia TEFL Vocabulary Initiative. The journal of Asia TEFL, vol. 1, No. 1, pp. 333–347.Google Scholar logo with link to Google Scholar
Vilkaitė-Lozdienė, L., & Schmitt, N. (2020). Frequency as a Guide for Vocabulary Usefulness. In S. Webb (ed.), The Routledge Handbook of Vocabulary Studies, pp. 81–96. New York: Routledge.Google Scholar logo with link to Google Scholar
Yimam, S. E., Biemann, C., Malmasi, Sh., Paetzold, G. H., Specia, L., Stajner, S., Tack, A., & Zampieri, M. (2018). A Report on the Complex Word Identification Shared Task 2018. In Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 66–78. Google Scholar logo with link to Google Scholar
Zeno, S., Ivens, S. H., Millard, R. T., & Duvvuri, R. (1995). The educator’s word frequency guide. Brewster: Touchstone Applied Science.Google Scholar logo with link to Google Scholar
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