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Paper Information

lrec2004-main-474

MT Goes Farming: Comparing Two Machine Translation Approaches on a New Domain

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Title

MT Goes Farming: Comparing Two Machine Translation Approaches on a New Domain

Abstract

In the paper we present detailed analyses of two machine translation systems when applied to documents of a previously unseen domain: agricultural texts from the European Union. The two systems compared are a statistical machine translation (SMT) system using the freely available ISI ReWrite Decoder, and the rule-based machine translation system MATS. For the purpose of comparison we use a sentence-aligned Swedish-English corpus of approximately 75,000 words per language, where 90\% are used for training and 10% are used for evaluation. In the paper we discuss the outcome of automatic evaluation and the results of our manual quality assessment.


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