Improving Domain-specific Machine Translation by Constraining the Language Model
Jeffrey C. Micher · 2012
Abstract : A domain-specific statistical machine translation engine is shown to be more accurate when only domain-specific language data are used to build the target-language language model. This has been found to be true when compared to using a much larger, out-of-domain corpus for building the language model, either alone or in combination with the domain-specific data.