Machine Translation for Patent Documents Combining Rule-based Translation and Statistical Post-editing
نویسنده
چکیده
In this article, we describe system architecture, training data preparation and experimental results of the EIWA group in the NTCIR-8 Patent Translation Task. Our system is combining rulebased machine translation technique and statistical post-editing technique. Experimental results show 0.344 BLEU score for Japanese to English intrinsic evaluation in the Patent Translation Task.
منابع مشابه
Machine translation system for patent documents combining rule-based translation and statistical post-editing applied to the PatentMT Task
In this article, we describe system architecture, preparation of training data and experimental results of the EIWA group in the NTCIR-9 Patent Translation Task. Our system is combining rulebased machine translation and statistical post-editing. Experimental results for Japanese to English (JE) subtask show 0.3169 BLEU score, 7.8161 NIST score, 0.7404 RIBES score, 3.43 adequacy score and 0.6381...
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