Automatic Japanese Example Extraction for Flashcard-based Foreign Language Learning

Arseny Tolmachev, Sadao Kurohashi, Daisuke Kawahara

Research output: Contribution to journalArticlepeer-review

Abstract

Flashcard systems are effective tools for learning words but have their limitations in teaching word usage. To overcome this problem, we suggest that a flashcard system shows a new example sentence on each repetition. This extension requires high-quality example sentences, automatically extracted from a huge corpus. To do this, we use a Determinantal Point Process which scales well to large data and allows us to naturally represent sentence similarity and quality as features. Our human evaluation experiment on the Japanese language indicates that the proposed method successfully extracted high-quality example sentences.

Original languageEnglish
Pages (from-to)315-330
Number of pages16
JournalJournal of information processing
Volume30
DOIs
Publication statusPublished - 2022

Keywords

  • Example Extraction
  • Example Sentences
  • Foreign Language Learning
  • Natural Language Processing

ASJC Scopus subject areas

  • General Computer Science

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