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Patents constitute one of the most challenging domains for machine translation because patent sentences can be quite long with complex structures. This paper presents a hierarchical reordering method based on three-level parsing for Chinese-English patent MT. After integrating into a Phrase based SMT system, our method improves the BLEU score by 1.92. There are also improvements in NIST and METEOR...
Adverbial chunks are widely distributed in Chinese patent document, this paper proposes a rule-based method of reordering long distance adverbial chunks for Chinese-English patent MT system. After analyzing common types of adverbials, different reordering ideas and formal rules are designed for various adverbials according to semantic and expression features of them, as well as systematic differences...
We focused on when and how to reorder the complicated Chinese NPs with two, three, four or five semantic-units and the semantic units were smallest chunks for reordering in Chinese-English Machine Translation. By analyzing clear parallels and striking distinctions between complicated Chinese NPs and their English, we built 17 formalized rules to identify the boundaries of semantic units with the Boundary-Words...
We address the problem of exclusion of verbs in sentences which are not predicates in Machine Translation and V+N compound nouns are the most apparent phenomena. We propose several identification rules based on HNC theory to lower the error rate of predicate-identification and verb-translation. Result is got by testing in existing MT system, which has a precision of 83.22% and a recall of 65.56%....
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