Assessing Readability of Learning Materials on Artificial Intelligence in English for Second Language Learners

Author:

Ehara Yo

Publisher

Springer International Publishing

Reference6 articles.

1. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In: Proceedings of NAACL, Minneapolis, Minnesota, pp. 4171–4186, June 2019

2. Ehara, Y.: Building an English vocabulary knowledge dataset of Japanese English-as-a-second-language learners using crowdsourcing. In: Proceedings of LREC, May 2018

3. Ehara, Y.: Lurat: a lightweight unsupervised automatic readability assessment toolkit for second language learners. In: Proceeding of ICTAI, pp. 806–814. IEEE (2021)

4. Laufer, B., Ravenhorst-Kalovski, G.C.: Lexical threshold revisited: lexical text coverage, learners’ vocabulary size and reading comprehension. Read. Foreign Lang. 22(1), 15–30 (2010)

5. Nation, I.: How large a vocabulary is needed for reading and listening? Can. Mod. Lang. Rev. 63(1), 59–82 (2006)

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