Analyzing Learner Understanding of Novel L2 Vocabulary

Rebecca Knowles, Adithya Renduchintala, Philipp Koehn, Jason Eisner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

In this work, we explore how learners can infer second-language noun meanings in the context of their native language. Motivated by an interest in building interactive tools for language learning, we collect data on three word-guessing tasks, analyze their difficulty, and explore the types of errors that novice learners make. We train a log-linear model for predicting our subjects’ guesses of word meanings in varying kinds of contexts. The model’s predictions correlate well with subject performance, and we provide quantitative and qualitative analyses of both human and model performance.
Original languageEnglish
Title of host publicationProceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL)
Place of PublicationBerlin, Germany
PublisherAssociation for Computational Linguistics
Pages126-135
Number of pages10
ISBN (Print)978-1-945626-19-7
DOIs
Publication statusPublished - 12 Aug 2016
Event20th SIGNLL Conference on Computational Natural Language Learning - Berlin, Germany
Duration: 11 Aug 201612 Aug 2016
http://www.conll.org/2016

Conference

Conference20th SIGNLL Conference on Computational Natural Language Learning
Abbreviated titleCoNLL
Country/TerritoryGermany
CityBerlin
Period11/08/1612/08/16
Internet address

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