Bilingual Multi-Word Lexicon Construction via a Pivot Language
نویسندگان
چکیده
Bilingual multi-word lexicons are helpful for statistical machine translation systems to improve their performance. In this paper we present a method for constructing such lexicons in a resource-poor language pair such as Korean-French. By using two parallel corpora sharing one pivot language we can easily construct such lexicons without any external language resource like a seed dictionary. The experimental results for the KR to FR have shown that the accuracy is quite promising, even though this research is ongoing.
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