論文 ·対照・比較 ·未確認
Part-of-speech tagger for Ainu language based on higher order Hidden Markov Model
Ptaszynski, Michal ・ Momouchi, Yoshio
- 刊行年
- 2012-10-15
- 収録
- 『Expert Systems with Applications』 39(14) pp. 11576-11582
- DOI
- 10.1016/j.eswa.2012.04.031
- ISSN
- 0957-4174
- zotero
- 7ELCG664
- URL
- https://www.sciencedirect.com/science/article/pii/S0957417412006288
要旨
This paper presents POST-AL, the first part-of-speech tagger for Ainu language. The system uses a hand-crafted dictionary based on Ainu narratives “yukar”. The system provides three types of information: word/token, part of speech, and translation of the token (in Japanese). Evaluation on a training set provided positive results. The system could be useful in a great number of tasks related to the research on Ainu language, such as content analysis or translation, which till now have been done mostly manually.
主題
この書誌の出所
- zotero— 7ELCG664（2026-08-12取得）
引用
Ptaszynski, Michal・Momouchi, Yoshio（2012-10-15） Part-of-speech tagger for Ainu language based on higher order Hidden Markov Model 『Expert Systems with Applications』 39(14) pp. 11576-11582