Automatic Acquisition of a High-Precision Translation Lexicon from Parallel Chinese-English Corpora
نویسنده
چکیده
This paper presents a hybrid approach to deriving a translation lexicon from unaligned parallel Chinese-English corpora. Two types of information, namely, proximity and document-external distributions of word pairs, are proposed to enhance the precision of the translation lexicon derived from statistical and dictionary-based methods. The former can identify translations of Chinese compounds, while the latter can filter out spurious word correspondences. Both methods achieve more than 94% precision.
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