Juman++: A morphological analysis toolkit for scriptio continua

Arseny Tolmachev, Daisuke Kawahara, Sadao Kurohashi

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

We present a three-part toolkit for developing morphological analyzers for languages without natural word boundaries. The first part is a lattice-based morphological analysis library that uses a combination of linear and recurrent neural net language models for analysis. The other parts are a tool for exposing problems in the trained model and a partial annotation tool. Our morphological analyzer for Japanese achieves new SOTA on Jumandic-based corpora while being 250 times faster than the previous one. We also perform a small experiment and quantitive analysis of using our toolkit.

本文言語English
ホスト出版物のタイトルEMNLP 2018 - Conference on Empirical Methods in Natural Language Processing
ホスト出版物のサブタイトルSystem Demonstrations, Proceedings
出版社Association for Computational Linguistics (ACL)
ページ54-59
ページ数6
ISBN(電子版)9781948087858
DOI
出版ステータスPublished - 2018
外部発表はい
イベント2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2018 - Brussels, Belgium
継続期間: 2018 10 312018 11 4

出版物シリーズ

名前EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings

Conference

Conference2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2018
CountryBelgium
CityBrussels
Period18/10/3118/11/4

ASJC Scopus subject areas

  • Information Systems
  • Computational Theory and Mathematics
  • Computer Science Applications

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