Uses of Monolingual In-Domain Corpora for Cross-Domain Adaptation with Hybrid MT Approaches
نویسندگان
چکیده
Resource limitation is challenging for crossdomain adaption. This paper employs patterns identified from a monolingual in-domain corpus and patterns learned from the post-edited translation results, and translation model as well as language model learned from pseudo bilingual corpora produced by a baseline MT system. The adaptation from a government document domain to a medical record domain shows the rules mined from the monolingual in-domain corpus are useful, and the effect of using the selected pseudo bilingual corpus is significant.
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