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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Porkaew, P. Takhom, A. Supnithi, T. |
| Copyright Year | 2009 |
| Description | Author affiliation: Human Language Technology Laboratory, National Electronics and Computer Technology, Thailand Science Park, Klong Nueng, Klong Luang, Pathumthani, Thailand (Porkaew, P.; Takhom, A.; Supnithi, T.) |
| Abstract | The objective of this paper is to find an appropriate combination of English factors to support English-to-Thai translation task. There are four English factors those are surface, lemma, part-of-speech (POS) and combinatory categorical grammar (CCG). Various combinations of those factors were trained to build the most efficient model for translation. We test the accuracy using the BLEU score. The result shows that the factored model which consists of lemma and CCG produce the highest accuracy at 24.21% (1.05% superior than baseline). In future work, we will extend this work to Thai-to-English translation. |
| Starting Page | 143 |
| Ending Page | 146 |
| File Size | 190055 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441389 |
| DOI | 10.1109/SNLP.2009.5340929 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-20 |
| Publisher Place | Thailand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Surface-mount technology Bayesian methods Natural languages Humans Probability Information retrieval Natural language processing Internet Information technology Testing |
| Content Type | Text |
| Resource Type | Article |
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