Article published In:
International Journal of Learner Corpus Research
Vol. 8:1 (2022) ► pp.121138
References (32)
References
Alexopoulou, T., Geertzen, J., Korhonen, A., & Meurers, D. (2015). Exploring big educational learner corpora for SLA research: Perspectives on relative clauses. International Journal of Learner Corpus Research, 1 (1), 96–129. DOI logoGoogle Scholar
Atkinson, K. (2019). Spell Checking Oriented Word Lists (SCOWL) (Version 2019). [URL]
Biber, D., Reppen, R., Staples, S., & Egbert, J. (2020). Exploring the longitudinal development of grammatical complexity in the disciplinary writing of L2-English university students. International Journal of Learner Corpus Research, 6 (1), 38–71. DOI logoGoogle Scholar
Bird, S., Loper, E. & Klein, E. (2009). Natural language processing with Python. O’Reilly Media.Google Scholar
Blanchard, D., Tetreault, J., Higgins, D., Cahill, A., & Chodorow, M. (2014). ETS Corpus of Non-Native Written English LDC2014T06. Linguistic Data Consortium.Google Scholar
Callies, M. (2015). Learner corpus methodology. In S. Granger, G. Gilquin, & F. Meunier (Eds.), The Cambridge handbook of learner corpus research (pp. 35–56). Cambridge University Press. DOI logoGoogle Scholar
Centre for English Corpus Linguistics. (2021a). Longitudinal Database of Learner English (LONGDALE). Université catholique de Louvain. [URL]
. (2021b). Learner corpora around the world. Université catholique de Louvain. [URL]
Davies, M. (2008–). The Corpus of Contemporary American English (COCA): 560 million words, 1990-present. [URL]
Dunlap, S. (2012). Orthographic quality in English as a second language (Unpublished doctoral dissertation). University of Pittsburgh.
Etaiwi, W., & Naymat, G. (2017). The impact of applying different preprocessing steps on review spam detection. Procedia Computer Science, 113 1, 273–279. DOI logoGoogle Scholar
Gablasova, D., Brezina, V., & McEnery, T. (2017). Exploring learner language through corpora: Comparing and interpreting corpus frequency information. Language Learning 67 (1), 130–154. DOI logoGoogle Scholar
Garbe, W. (2020). SymSpell (Version 6.7). [URL]
Gilquin, G. (2015). From design to collection of learner corpora. In S. Granger, G. Gilquin, & F. Meunier (Eds.), The Cambridge handbook of learner corpus research (pp. 9–34). Cambridge University Press. DOI logoGoogle Scholar
Granger, S., Dupont, M., Meunier, F., Naets, H. & Paquot, M. (2020). The International Corpus of Learner English. Version 3. Presses universitaires de Louvain. [URL]
Honnibal, M. (2013). A good part-of-speech tagger in about 200 lines of Python. Explosion. [URL]
Juffs, A. (2020). Aspects of language development in an intensive English program. Routledge. DOI logoGoogle Scholar
Juffs, A., & Han, N-R. (2019, March 12). Combining formal and usage-based theories with data science techniques in measuring the development of syntactic complexity in written production. Paper presented at the International Conference of the American Association of Applied Linguistics, Atlanta, GA.
Juffs, A., Han, N-R., & Naismith, B. (2020). The University of Pittsburgh English Language Corpus (PELIC) [Data set]. DOI logoGoogle Scholar
Leńko-Szymańska, A. (2019). Defining and assessing lexical proficiency. Routledge. DOI logoGoogle Scholar
Marcus, M. P., Santorini, B., Marcinkiewicz, M. A., & Taylor, A. (1999). Treebank-3 LDC99T42 [Web Download]. Linguistic Data Consortium. [URL]
Meunier, F. (2016). Introduction to the LONGDALE Project. In E. Castello, K. Ackerley, & F. Coccetta (Eds.), Studies in learner corpus linguistics. Research and applications for foreign language teaching and assessment (pp. 123–126). Peter Lang.Google Scholar
Naismith, B., Han, N.-R., Juffs, A., Hill, B. L., & Zheng, D. (2018). Accurate measurement of lexical sophistication with reference to ESL learner data. In K. E. Boyer & M. Yudelson (Eds), Proceedings of the 11th International Conference on Educational Data Mining (pp. 259–265).Google Scholar
Naismith, B., & Juffs, A. (2021). Finding the sweet spot: Learners’ productive knowledge of mid-frequency lexical items. Language Teaching Research. DOI logoGoogle Scholar
Nation, I. S. P. (2013). Learning vocabulary in another language (2nd ed.). Cambridge University Press. DOI logoGoogle Scholar
Picoral, A., Staples, S., & Reppen, R. (2021). Automated annotation of learner English. International Journal of Learner Corpus Research, 7 (1), 17–52. DOI logoGoogle Scholar
Rankin, T., & Schiftner, B. (2011). Marginal prepositions in learner English: Applying local corpus data. International Journal of Corpus Linguistics, 16 (3), 412–34. DOI logoGoogle Scholar
Someya, Y. (1998). Someya Lemma List. [URL]
Tidball, F., & Treffers-Daller, J. (2008). Analysing lexical richness in French learner language: what frequency lists and teacher judgements can tell us about basic and advanced words. Journal of French Language Studies, 18 (3), 299–313. DOI logoGoogle Scholar
van Rooy, B., & Schäfer, L. (2009). The effect of learner errors on POS tag errors during automatic POS tagging. Southern African Linguistics and Applied Language Studies, 20 (4), 325–335. DOI logoGoogle Scholar
Vercellotti, M. L. (2017). The development of complexity, accuracy and fluency in second language performance. Applied Linguistics, 38 1, 90–111. DOI logoGoogle Scholar
Vercellotti, M. L., Juffs, A., & Naismith, B. (2021). Multiword sequences in L2 English language learners’ speech: The relationship between trigrams and lexical variety across development. System, 98 1. DOI logoGoogle Scholar
Cited by (6)

Cited by six other publications

Cong, Yan
2024. AI Language Models: An Opportunity to Enhance Language Learning. Informatics 11:3  pp. 49 ff. DOI logo
Cong, Yan
2025. Demystifying large language models in second language development research. Computer Speech & Language 89  pp. 101700 ff. DOI logo
Kyle, Kristopher & Masaki Eguchi
2024. Evaluating NLP models with written and spoken L2 samples. Research Methods in Applied Linguistics 3:2  pp. 100120 ff. DOI logo
Martin, Katherine I.
2024. How a Phonics-Based Intervention, L1 Orthography, and Item Characteristics Impact Adult ESL Spelling Knowledge. Education Sciences 14:4  pp. 421 ff. DOI logo
Xu, Wei
2023. 2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON),  pp. 1 ff. DOI logo
Zhao, Hui, Kexin Jin, Jing Wang & Abid Yahya
2022. Automatic Recognition and Extraction of English Verb Types Based on Index Line Clustering. Mobile Information Systems 2022  pp. 1 ff. DOI logo

This list is based on CrossRef data as of 17 october 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.