論文 ·関連 ·未確認

Design and Structure of The Juman++ Morphological Analyzer Toolkit

Arseny Tolmachev ・ Daisuke Kawahara ・ Sadao Kurohashi

刊行年: 2020
収録: 『自然言語処理』 27(1) pp. 89-132
言語: 英語
DOI: 10.5715/jnlp.27.89
ISSN: 1340-7619
J-STAGE: jnlp
OpenAlex: W3035143114
MAG: 3035143114
URL: https://www.jstage.jst.go.jp/article/jnlp/27/1/27_89/_article/-char/ja/

要旨

An NLP tool is practical when it is fast in addition to having high accuracy. We describe the architecture and the used methods to achieve 250× analysis speed improvement on the Juman++ morphological analyzer together with slight accuracy improvements. This information should be useful for implementors of high-performance NLP and machine-learning based software.

主題

Natural Language Processing Techniques Topic Modeling Algorithms and Data Compression

この書誌の出所

jstage— 10.5715/jnlp.27.89（2026-08-12取得）
openalex— W3035143114（2026-08-12取得）

引用

Arseny Tolmachev・Daisuke Kawahara・Sadao Kurohashi（2020）　Design and Structure of The Juman++ Morphological Analyzer Toolkit　『自然言語処理』 27(1) pp. 89-132

Tolmachev2020DesignStructureJuman