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2021 年度 実施状況報告書

Developing a program for language teaching with parsed corpora

研究課題

研究課題/領域番号 19K00541
研究機関弘前大学

研究代表者

バトラー アラステア  弘前大学, 人文社会科学部, 准教授 (90588873)

研究期間 (年度) 2019-04-01 – 2023-03-31
キーワードgrammatical analysis / parsed corpora / language teaching / English / Japanese
研究実績の概要

The implementation plan is to develop a program for language teaching with parsed corpora. The components are: 1) a grammar textbook focused on English language learning for Japanese students at university level, 2) a large grammatically analysed corpus of English, also linked to Japanese language analysis for purposes of comparison, and 3) the development of a "toolkit" for analysis creation, for students to start analysing their own written language. The goal is to empower students to critically analyse their own use of language and be drawn to explore wider insights from the grammatically analysed corpus. The third year of the project has seen further development in all three components of the project.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

Textbook development continued, branched into: (i) an introductory guide for the English parsed corpus, and (ii) a supplement to a published textbook linking to corpus queries. Results have been released on the web. While the size of the analysed corpus hasn't increased (43,835 trees; 467,414 words), many improvements were made to the analysis. Most notably verb codes were added (currently 34,406 completed instances, but 42,051 incomplete instances) to assist with word sense disambiguation. The largest amount of work went into improving the online corpus interface. This was described in a conference presentation (LENLS 18), and is available from https://entrees.github.io/.

今後の研究の推進方策

The parsing guide will be further enlarged and refined. Further content will be added to the textbook supplement for it to become useful as an independent resource. The dependency analysis gained from the "toolkit" will be integrated into the corpus interface to offer an alternative way for students to gain a strong feeling for how words interact with each other.

次年度使用額が生じた理由

In the next fiscal year annotation of the English corpus will continue to add verb code information for word sense disambiguation to assist students with gaining knowledge of vocabulary and word use. Enhancements will also be made to the toolkit for analysing English to improve coverage of language phenomena. Improvements will include the integration of verb code information into the toolkit. This will assist with disambiguating the grammatical analysis so that more sentence ambiguity can be automatically resolved. Additionally, improvements will be made to the online corpus interface.

  • 研究成果

    (2件)

すべて 2021

すべて 雑誌論文 (1件) (うち国際共著 1件、 査読あり 1件) 学会発表 (1件)

  • [雑誌論文] Knowledge Acquisition from Natural Language with Treebank Semantics and FLORA-22021

    • 著者名/発表者名
      Alastair Butler
    • 雑誌名

      Lecture Notes in Computer Science, New Frontiers in Artificial Intelligence. JSAI-isAI 2020

      巻: 12758 ページ: 37-49

    • DOI

      10.1007/978-3-030-79942-7_3

    • 査読あり / 国際共著
  • [学会発表] Parsed corpus development with a quick access interface2021

    • 著者名/発表者名
      Alastair Butler
    • 学会等名
      Logic and Engineering of Natural Language Semantics 18 (LENLS18)

URL: 

公開日: 2022-12-28  

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