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Developing an Environment to Suppot the Revision of English Translations of Japanese Statutes due to Amendments: A Method based on Hybrid Machine Translation

Research Project

Project/Area Number 18H03492
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 90020:Library and information science, humanistic and social informatics-related
Research InstitutionNagoya University

Principal Investigator

TOYAMA Katsuhiko  名古屋大学, 情報基盤センター, 教授 (70217561)

Project Period (FY) 2018-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2020: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2019: ¥5,980,000 (Direct Cost: ¥4,600,000、Indirect Cost: ¥1,380,000)
Fiscal Year 2018: ¥6,370,000 (Direct Cost: ¥4,900,000、Indirect Cost: ¥1,470,000)
Keywords法情報処理 / 法令翻訳 / 法制執務 / 機械翻訳 / 自然言語処理
Outline of Final Research Achievements

This research aims to develop a machine translation technology that supports the revision of English translations of Japanese statutes due to their partial amendments, which contributes to immediate and international dissemination of legal information on Japan necessary for the globalization of society. In particular, as well as adequate and fluent translation, we require "focal" translation: only the translation for the expressions that are amended in the statutory sentences should be revised without revising the others.
To establish this, we developed a hybrid machine translation technology that combines statistical machine translation using a translation memory and neural machine translation. By compiling and using a corpus which consists of Japanese-English bilingual statutory sentences for pre- and post-amendment, we showed that our proposed method is effective for supporting the revision of English translations of Japanese statutes.

Academic Significance and Societal Importance of the Research Achievements

社会のグローバル化に伴い,わが国の法情報の国際的発信が国内外から求められている.しかし,法令の新規制定や改正に対する英訳作業の遅れや訳語の一貫性の不徹底などの課題がある.本研究は,法令の一部改正に伴う英訳修正を支援する機械翻訳手法を開発し,英訳作業の効率化・高精度化に貢献した.また,訳文の妥当性と流暢性だけでなく,訳文の修正極小性も訳文の評価として新たに要求することにより,一過性の翻訳だけでなく,原文の修正に対して動的・継続的に対応する機械翻訳技術の開発という研究課題を新たに設定し,翻訳メモリを用いた統計的機械翻訳とニューラル機械翻訳を融合したハイブリッド機械翻訳という新たな技術を開発した.

Report

(4 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Annual Research Report
  • 2018 Annual Research Report
  • Research Products

    (21 results)

All 2021 2020 2019 2018 Other

All Int'l Joint Research (1 results) Journal Article (5 results) (of which Peer Reviewed: 5 results,  Open Access: 5 results) Presentation (15 results) (of which Int'l Joint Research: 5 results)

  • [Int'l Joint Research] Kathetsart University(タイ)

    • Related Report
      2019 Annual Research Report
  • [Journal Article] Differential Translation for Japanese Partially Amended Statutory Sentences2021

    • Author(s)
      Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama
    • Journal Title

      New Frontiers in Artificial Intelligence: JSAI-isAI 2020 Conference and Workshops, Revised Selected Papers, Lecture Notes in Computer Science

      Volume: 未定

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Japanese Mistakable Legal Term Correction using Infrequency-aware BERT Classifier2020

    • Author(s)
      Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama
    • Journal Title

      Transactions of the Japanese Society for Artificial Intelligence

      Volume: 35 Issue: 4 Pages: E-K25_1-17

    • DOI

      10.1527/tjsai.E-K25

    • NAID

      130007867999

    • ISSN
      1346-0714, 1346-8030
    • Year and Date
      2020-07-01
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Japanese Legal Term Correction using Random Forest2020

    • Author(s)
      Yamakoshi Takahiro, Ogawa Yasuhiro, Komamizu Takahiro, Toyama Katsuhiko
    • Journal Title

      Transactions of the Japanese Society for Artificial Intelligence

      Volume: 35 Issue: 1 Pages: H-J53_1-14

    • DOI

      10.1527/tjsai.H-J53

    • NAID

      130007779279

    • ISSN
      1346-0714, 1346-8030
    • Year and Date
      2020-01-01
    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Hierarchical Coordinate Structure Analysis for Japanese Statutory Sentences Using Neural Language Models2018

    • Author(s)
      Yamakoshi Takahiro、Ohno Tomohiro、Ogawa Yasuhiro、Nakamura Makoto、Toyama Katsuhiko
    • Journal Title

      Journal of Natural Language Processing

      Volume: 25 Issue: 4 Pages: 393-419

    • DOI

      10.5715/jnlp.25.393

    • NAID

      130007531034

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Japanese Legal Term Correction using Random Forests2018

    • Author(s)
      Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama
    • Journal Title

      Legal Knowledge and Information Systems, JURIX 2018: The 31th Annual Conference

      Volume: 1 Pages: 161-170

    • NAID

      130007779279

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] Differential Translation for Japanese Partially Amended Statutory Sentences2020

    • Author(s)
      Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama
    • Organizer
      14th Int. Workshop on Juris-informatics
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 法令沿革LOD構築のためのDBpediaにおける法令エンティティの同定2020

    • Author(s)
      駒水孝裕, 小川泰弘, 外山勝彦
    • Organizer
      人工知能学会セマンティックウェブとオントロジー研究会
    • Related Report
      2020 Annual Research Report
  • [Presentation] 事前学習モデルBERTによる法令用語の校正2020

    • Author(s)
      山腰貴大, 駒水孝裕, 小川泰弘, 外山勝彦
    • Organizer
      2020年度人工知能学会全国大会
    • Related Report
      2020 Annual Research Report
  • [Presentation] Japanese Mistakable Legal Term Correction using Infrequency-aware BERT Classifier2019

    • Author(s)
      Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama
    • Organizer
      3rd Annual Workshop on Applications of Artificial Intelligence in the Legal Industry, 2019 IEEE Int. Conf. on Big Data
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Exploring Relevant Parts between Legal Documents using Substructure Matching2019

    • Author(s)
      Takahiro Komamizu, Kazuya Fujioka, Yasuhiro Ogawa, Katsuhiko Toyama
    • Organizer
      13th Int. Workshop on Juris-informatics
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Analyzing Japanese Law History through Modeling Multi-versioned Entity2019

    • Author(s)
      Takahiro Komamizu, Yushi Uchida, Yasuhiro Ogawa, Katsuhiko Toyama
    • Organizer
      2nd Int. Conf. on Contextualized Knowledge Graphs
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Thai Legal Term Correction using Random Forests with Outside-the-sentence Features2019

    • Author(s)
      Takahiro Yamakoshi, Vee Satayamas, Hutchatai Chanlekha, Yasuhiro Ogawa, Takahiro Komamizu, Asanee Kawtrakul, Katsuhiko Toyama
    • Organizer
      33rd Pacific Asia Conference on Language, Information and Computation
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 共通BERT分類器による紛らわしい法令用語の校正2019

    • Author(s)
      山腰貴大, 駒水孝裕, 小川泰弘, 外山勝彦
    • Organizer
      言語処理学会NLP若手の会第14回シンポジウム
    • Related Report
      2019 Annual Research Report
  • [Presentation] 法令沿革オントロジーの設計2019

    • Author(s)
      内田勇志, 駒水孝裕, 小川泰弘, 外山勝彦
    • Organizer
      人工知能学会セマンティックウェブとオントロジー研究会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 部分構造を用いた類似例規の検索2019

    • Author(s)
      藤岡和弥, 駒水孝裕, 小川泰弘, 外山勝彦
    • Organizer
      第11回データ工学と情報マネジメントに関するフォーラム(第17回日本データベース学会年次大会)
    • Related Report
      2018 Annual Research Report
  • [Presentation] ニューラルモデルと翻訳メモリを併用した機械翻訳2018

    • Author(s)
      重野泰和,駒水孝裕,小川泰弘,外山勝彦
    • Organizer
      平成30年度電気・電子・情報関係学会東海支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] ランダムフォレストによる法令用語の校正2018

    • Author(s)
      山腰貴大, 駒水孝裕, 小川泰弘, 外山勝彦
    • Organizer
      平成30年度電気・電子・情報関係学会東海支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 単語の分散表現を用いた法令用語間の関係の獲得2018

    • Author(s)
      植原リサ, 駒水孝裕, 小川泰弘, 外山勝彦
    • Organizer
      平成30年度電気・電子・情報関係学会東海支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] Zipfの法則は例規文の出現数においても成立する2018

    • Author(s)
      藤岡和弥, 駒水孝裕, 小川泰弘, 外山勝彦
    • Organizer
      平成30年度電気・電子・情報関係学会東海支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 並列構造の分割による法令文の読解性向上2018

    • Author(s)
      青山恵子, 駒水孝裕, 小川泰弘, 外山勝彦
    • Organizer
      平成30年度電気・電子・情報関係学会東海支部連合大会
    • Related Report
      2018 Annual Research Report

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Published: 2018-04-23   Modified: 2022-01-27  

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