文章基本信息

标题：An Empirical Comparison of Parsers in Constraining Reordering for E-J Patent Machine Translation
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作者：Isao Goto ; Masao Utiyama ; Takashi Onishi 等
期刊名称：Information and Media Technologies
电子版ISSN：1881-0896
出版年度：2012
卷号：7
期号：4
页码：1457-1468
DOI：10.11185/imt.7.1457
出版社：Information and Media Technologies Editorial Board
摘要：Machine translation of patent documents is very important from a practical point of view. One of the key technologies for improving machine translation quality is the utilization of syntax. It is difficult to select the appropriate parser for English to Japanese patent machine translation because the effects of each parser on patent translation are not clear. This paper provides an empirical comparative evaluation of several state-of-the-art parsers for English, focusing on the effects on patent machine translation from English to Japanese. We add syntax to a method that constrains the reordering of noun phrases for phrase-based statistical machine translation. There are two methods for obtaining the noun phrases from input sentences: 1) an input sentence is directly parsed by a parser and 2) noun phrases from an input sentence are determined by a method using the parsing results of the context document that contains the input sentence. We measured how much each parser contributed to improving the translation quality for each of the two methods and how much a combination of parsers contributed to improving the translation quality for the second method. We conducted experiments using the NTCIR-8 patent translation task dataset. Most of the parsers improved translation quality. Combinations of parsers using the method based on context documents achieved the best translation quality.
关键词：patent translation;parser;comparison;reordering constraint;English to Japanese