Name
Abstract | ||
|---|---|---|
One of the most important problems of the morphological analysis is processing of unknown words. This paper proposes to use morpheme and character features to relieve the problem of the unknown words without decreasing of the precision for the known words. We used the maximum entropy method which is flexible to the information of the morphemes and the characters. The experiments revealed that both the morpheme and character features are effective for Chinese morphological analysis and the character features are useful for the processing of the unknown words. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-32695-0_87 | PRICAI |
Keywords | Field | DocType |
important problem,chinese morphological analysis,character feature,maximum entropy method,morphological analysis,known word,unknown word | Morpheme,Computer science,Maximum entropy method,Speech recognition,Natural language processing,Artificial intelligence,Morphological analysis | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kanako Komiya | 1 | 31 | 9.59 |
| Haixia Hou | 2 | 0 | 0.34 |
| Kazutomo Shibahara | 3 | 0 | 0.68 |
| Koji Fujimoto | 4 | 2 | 3.66 |
| Yoshiyuki Kotani | 5 | 0 | 0.34 |