普什图语文本句法歧义的识别

2009 International Conference on Emerging Technologies Pub Date : 2009-12-11 DOI:10.1109/ICET.2009.5353211

M. Bilal, M. Khan, R. Ali

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引用次数: 4

摘要

自然语言本质上是模棱两可的。对于机器翻译系统来说，解决源语言中的歧义是一项必不可少的任务。在解决歧义之前，它们的识别是一项基本任务。本文研究的是普什图语篇中句法歧义的分类与识别。在这里，识别基于解析器为歧义短语构建的解析树。提出了一种正确识别句法歧义的算法，准确率为64.3%。

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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Identification of syntactic ambiguities in Pashto text

Natural languages are inherently ambiguous. For a machine translation system, it is an essential task to resolve the ambiguities in the source language. Before resolution of ambiguities, their identification is an essential task. This research paper is about the classification and identification of syntactic ambiguities in Pashto text. Here, the identification is based on the parse trees build by the parser for the ambiguous phrases. An algorithm is proposed which correctly identifies syntactic ambiguities with a success rate of 64.3%.

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2009 International Conference on Emerging Technologies

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