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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Prasert Luekhong | en_US |
dc.contributor.author | Taneth Ruangrajitpakorn | en_US |
dc.contributor.author | Rattasit Sukhahuta | en_US |
dc.contributor.author | Thepchai Supnithi | en_US |
dc.date.accessioned | 2018-09-05T04:26:36Z | - |
dc.date.available | 2018-09-05T04:26:36Z | - |
dc.date.issued | 2018-01-01 | en_US |
dc.identifier.issn | 21945357 | en_US |
dc.identifier.other | 2-s2.0-85044403934 | en_US |
dc.identifier.other | 10.1007/978-3-319-70016-8_4 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85044403934&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/58595 | - |
dc.description.abstract | © Springer International Publishing AG 2018. This work presents the comparative study between phrase-based translation (PBT) and hierarchical phrase-based translation (HPBT) to find the potential and suitability for Thai-English translation. By the experiment result, we found that HPBT slightly outpaced PBT by measuring with BLEU point. The best language model was 4-gram for Thai to English translation while 5-gram gave the best result for English to Thai translation. | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Engineering | en_US |
dc.title | A study of a Thai-English translation comparing on applying phrase-based and hierarchical phrase-based translation | en_US |
dc.type | Book Series | en_US |
article.title.sourcetitle | Advances in Intelligent Systems and Computing | en_US |
article.volume | 684 | en_US |
article.stream.affiliations | Rajamangala University of Technology Lanna | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
article.stream.affiliations | Thammasat University | en_US |
article.stream.affiliations | Thailand National Electronics and Computer Technology Center | en_US |
Appears in Collections: | CMUL: Journal Articles |
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