New words such as names, technical terms, etc appear frequently. As such, the bilingual lexicon of a machine translation system has to be constantly updated with these new word translations. Comparable corpora such as news documents of the same period from different news agencies are readily available. In this paper, we present a new approach to mining new word translations from comparable corpora, by using context information to complement transliteration information. We evaluated our approach on six months of Chinese and English Gigaword corpora, with encouraging results.
REF presented a method to mine new translations from Chinese and English news documents of the same period from different news agencies, combining both transliteration and context information.
Mining New Word Translations From Comparable Corpora
International Conference On Computational Linguistics
Computer Science