Publication: Co-occurrence-based error correction approach to word segmentation
| dc.contributor.author | Ekawat Chaowicharat | en_US |
| dc.contributor.author | Kanlaya Naruedomkul | en_US |
| dc.contributor.other | Mahidol University | en_US |
| dc.date.accessioned | 2018-05-03T08:08:53Z | |
| dc.date.available | 2018-05-03T08:08:53Z | |
| dc.date.issued | 2011-09-09 | en_US |
| dc.description.abstract | To overcome the problems in Thai word segmentation, a number of word segmentation has been proposed during the long period of time until today. We propose a novel Thai word segmentation approach so called Co-occurrence-Based Error Correction (CBEC). CBEC generates all possible segmentation candidates using the classical maximal matching algorithm and then selects the most accurate segmentation based on co-occurrence and an error correction algorithm. CBEC was trained and evaluated on BEST 2009 corpus. Copyright © 2011, Association for the Advancement of Artificial Intelligence. All rights reserved. | en_US |
| dc.identifier.citation | Proceedings of the 24th International Florida Artificial Intelligence Research Society, FLAIRS - 24. (2011), 240-244 | en_US |
| dc.identifier.other | 2-s2.0-80052394809 | en_US |
| dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/123456789/11773 | |
| dc.rights | Mahidol University | en_US |
| dc.rights.holder | SCOPUS | en_US |
| dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=80052394809&origin=inward | en_US |
| dc.subject | Computer Science | en_US |
| dc.title | Co-occurrence-based error correction approach to word segmentation | en_US |
| dc.type | Conference Paper | en_US |
| dspace.entity.type | Publication | |
| mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=80052394809&origin=inward | en_US |