POST-AL: Part-of-Speech T agger for Ainu Language
Michal E. Ptaszynski, Yoshio Momouchi · 2012
This paper presents POST-AL, a part-of-speech tagger for Ainu language. The system uses a hand-crafted dictionary and performs three tasks: tokenization, part of speech tagging, and token translation (to Japanese). The system is evaluated on 13 Ainu stories called “yukar”. The system could be useful in a number of tasks related to the research on Ainu language, such as content analysis or translation, which till now have been done mostly manually.