Learning to Find Translations and Transliterations on the Web based on Conditional Random Fields
碩士 === 國立清華大學 === 資訊系統與應用研究所 === 101 === In recent years, state-of-the-arts cross-linguistic systems have been based on parallel cor- pora. However, it is difficult at times to find translations of a certain technical term or named entity even with a very large parallel corpus. In this paper, we pre...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/04588313149508137090 |