Name
Abstract | ||
|---|---|---|
The aim of this paper is to propose a Japanese morphological error measure in order to automatically detect morphological errors when analyzing. In particular, we focused on three similarities as the measure and experimented using them. From our experimental results, it was found that the precision of one of measures was 74% and it functioned well. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11552413_126 | KES (1) |
Keywords | Field | DocType |
morphological error,similarity measure,japanese morphological error measure,japanese morphological analysis,morphological analysis | Similitude,Pattern recognition,Computer science,Artificial intelligence,Morphological analysis | Conference |
Volume | ISSN | ISBN |
3681 | 0302-9743 | 3-540-28894-5 |
Citations | PageRank | References |
1 | 0.43 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoshiaki Kurosawa | 1 | 13 | 5.92 |
| Yuji Sakamoto | 2 | 1 | 0.43 |
| Takumi Ichimura | 3 | 120 | 35.31 |
| Teruaki Aizawa | 4 | 25 | 7.17 |