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
- jstage_journal
- 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
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）
引用キー: Tolmachev2020DesignStructureJuman