Korean-to-Chinese Machine Translation using Chinese Character as Pivot Clue
| Autor: | Park, Jeonghyeok, Zhao, Hai |
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| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | 33rd Pacific Asia Conference on Language, Information and Computation (PACLIC 33), pages 558-566, Hakodate, Japan, September 13-15, 2019 |
| Druh dokumentu: | Working Paper |
| Popis: | Korean-Chinese is a low resource language pair, but Korean and Chinese have a lot in common in terms of vocabulary. Sino-Korean words, which can be converted into corresponding Chinese characters, account for more than fifty of the entire Korean vocabulary. Motivated by this, we propose a simple linguistically motivated solution to improve the performance of the Korean-to-Chinese neural machine translation model by using their common vocabulary. We adopt Chinese characters as a translation pivot by converting Sino-Korean words in Korean sentences to Chinese characters and then train the machine translation model with the converted Korean sentences as source sentences. The experimental results on Korean-to-Chinese translation demonstrate that the models with the proposed method improve translation quality up to 1.5 BLEU points in comparison to the baseline models. Comment: 9 pages |
| Databáze: | arXiv |
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