名词-名词复合机器翻译浅加工的可行性研究

Proceedings of the ACL 2003 workshop on Multiword expressions analysis, acquisition and treatment - Pub Date : 2003-07-12 DOI:10.3115/1119282.1119285

Takaaki Tanaka, Timothy Baldwin

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引用次数: 68

摘要

复合名词由于其出现频率高、翻译效率高，是机器翻译中的一个重要问题。人们提出了多种浅层次的复合名词翻译方法，其中比较著名的是基于记忆的机器翻译和词到词的组合机器翻译。本文介绍了这些方法翻译日语和英语名词-名词复合词的可行性研究结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Noun-Noun Compound Machine Translation A Feasibility Study on Shallow Processing

The translation of compound nouns is a major issue in machine translation due to their frequency of occurrence and high productivity. Various shallow methods have been proposed to translate compound nouns, notable amongst which are memory-based machine translation and word-to-word compositional machine translation. This paper describes the results of a feasibility study on the ability of these methods to translate Japanese and English noun-noun compounds.

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