A Syntactic Reordering Model of Chinese Special Sentences for Patent Machine Translation

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This paper presents a rule-based model to deal with the long distance reordering of Chinese special sentences. In this model, we firstly identify special prepositions and their syntax levels. After that, sentences are parsed and transformed to be much closer to English word order with reordering rules. We evaluate our method within a patent MT system, which shows a great advantage over reordering with statistical methods. With the presented reordering model, the performance of patent machine translation of Chinese special sentences is effectually improved.

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1923-1929

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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