Personalized Text Retrieval for Learners of Chinese as a Foreign Language

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

17 Scopus Citations
View graph of relations

Detail(s)

Original languageEnglish
Title of host publicationProceedings of the 27th International Conference on Computational Linguistics
PublisherAssociation for Computational Linguistics
Pages3448-3455
ISBN (print)9781948087506
Publication statusPublished - Aug 2018

Publication series

NameCOLING - International Conference on Computational Linguistics, Proceedings

Conference

TitleThe 27th International Conference on Computational Linguistics (COLING 2018)
LocationSanta Fe Community Convention Center
PlaceUnited States
CityNew Mexico
Period20 - 26 August 2018

Link(s)

Abstract

This paper describes a personalized text retrieval algorithm that helps language learners select the most suitable reading material in terms of vocabulary complexity. The user first rates their knowledge of a small set of words, chosen by a graph-based active learning model. The system trains a complex word identification model on this set, and then applies the model to find texts that contain the desired proportion of new, challenging, and familiar vocabulary. In an evaluation on learners of Chinese as a foreign language, we show that this algorithm is effective in identifying simpler texts for low-proficiency learners, and more challenging ones for high-proficiency learners. © 2018 COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. All rights reserved.

Research Area(s)

Citation Format(s)

Personalized Text Retrieval for Learners of Chinese as a Foreign Language. / Yeung, Chak Yan; Lee, John.
Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Linguistics, 2018. p. 3448-3455 (COLING - International Conference on Computational Linguistics, Proceedings).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Download Statistics

No data available