通过句法和形态分离改进机器翻译生成

2011 Frontiers of Information Technology Pub Date : 2011-12-19 DOI:10.1109/FIT.2011.43

N. Karamat, M. K. Malik, S. Hussain

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引用次数: 4

摘要

本文提出了一种基于词法功能语法(LFG)的机器翻译系统的生成方法，该方法细分了生成过程，并使用基于规则的模块来解决生成问题。结果表明，与使用单一集成过程生成乌尔都语的早期工作相比，性能有所提高。

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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Improving Generation in Machine Translation by Separating Syntactic and Morphological Processes

This paper presents a generation approach in a Lexical Functional Grammar (LFG) based machine translation system that subdivides the generation process and uses rule based modules to solve the problem. The results show improvement in performance versus earlier work which generates the translation into Urdu using a single integrated process.

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2011 Frontiers of Information Technology

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