Part-of-speech tagger for Ainu language based on higher order Hidden Markov Model

Authors:
Michal Ptaszynski;Yoshio Momouchi
Affiliations:
Hokkai-Gakuen University, High-Tech Research Center, Minami 26, Nishi 11, Chuo-ku, Sapporo 064-0926, Japan;Hokkai-Gakuen University, Department of Electronics and Information Engineering, Faculty of Engineering, Minami 26, Nishi 11, Chuo-ku, Sapporo 064-0926, Japan
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

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.