Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.eswa.2012.04.031 | Expert Syst. Appl. |
Keywords | Field | DocType |
great number,higher order,part-of-speech tagger,ainu narrative,ainu language,positive result,hand-crafted dictionary,content analysis,hidden markov model,natural language processing | Training set,Content analysis,Computer science,Part-of-speech tagging,Part of speech,Narrative,Speech recognition,Artificial intelligence,Natural language processing,Hidden Markov model,Security token | Journal |
Volume | Issue | ISSN |
39 | 14 | 0957-4174 |
Citations | PageRank | References |
1 | 0.38 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michal Ptaszynski | 1 | 132 | 25.47 |
| Yoshio Momouchi | 2 | 54 | 15.10 |