論文 ·日本語 ·未確認
形態素解析における高速な単語ラティス生成
鍜治 伸裕 ・ 喜連川 優 ・ Nobuhiro Kaji ・ Masaru Kitsuregawa
- 刊行年
- 2014
- 収録
- 『人工知能学会論文誌』 29(2) pp. 268-276
- 出版
- The Japanese Society for Artificial Intelligence
- 言語
- 日本語・英語
- DOI
- 10.1527/tjsai.29.268
- ISSN
- 1346-0714
- J-STAGE
- tjsai
- OpenAlex
- W2313776743
- MAG
- 2313776743
- URL
- https://www.jstage.jst.go.jp/article/tjsai/29/2/29_29_268/_article/-char/ja/
要旨
This paper proposes a fast word lattice generation algorithm for Japanese morphological analysis. We conducted experiments on three Japanese data sets to demonstrate that the previously proposed pruning-based algorithm is in fact not efficient enough, and that the pipeline algorithm, which is introduced in this paper, achieves considerable speed-up without loss of accuracy. Moreover, the compactness of the lattice generated by the pipeline algorithm was investigated from both theoretical and empirical perspectives.
主題
この書誌の出所
- jstage— 10.1527/tjsai.29.268(2026-08-12取得)
- openalex— W2313776743(2026-08-14取得)
引用
鍜治 伸裕・喜連川 優・Nobuhiro Kaji・Masaru Kitsuregawa(2014) 形態素解析における高速な単語ラティス生成 『人工知能学会論文誌』 29(2) pp. 268-276 The Japanese Society for Artificial Intelligence
鍜治2014形態素解析における高