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首页> 外文期刊>International Journal of Artificial Intelligence Tools: Architectures, Languages, Algorithms >Translation Divergence Patterns Handling in English to Urdu Machine Translation
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Translation Divergence Patterns Handling in English to Urdu Machine Translation

机译:翻译分歧模式用英语处理乌尔都语机翻译

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摘要

English to Urdu machine translation is still in its infancy. This study illustrates various types of translation divergences and their implication in English to Urdu machine translation. The divergence in English to Urdu machine translation can be thought as representing the translation divergences between Subject-Verb-Object (SVO) class languages to Subject-Object-Verb (SOV) class languages. This study discusses the different types of divergences in English to Urdu machine translation and presents novel computational algorithms to detect and to resolve these divergences in English to Urdu Machine Translation. These algorithms for detection of divergence have been implemented in English to Urdu Machine Translation system, and results have been presented in this paper. The work introduced here is the only one, to the best of our knowledge, which automatically detects and resolves divergences in English to Urdu machine translation.
机译:英语到乌尔都语机器翻译仍处于起步阶段。 本研究说明了各种类型的翻译分歧及其在英语到乌尔都语机器翻译中的含义。 英语到乌尔都语机器翻译的分歧可以被认为是代表对象 - 对象 - 动词(SOV)类语言的主题 - 动词对象(SVO)类语言之间的翻译分歧。 本研究讨论了英语对乌尔都语机器翻译中的不同类型的分歧,并提出了新的计算算法来检测和解决乌尔都语机器翻译中的这些分歧。 这些用于检测发散的算法已经用英语实施,以乌尔都语机器翻译系统实现,并在本文中提出了结果。 这里介绍的工作是唯一一个据我们所知,这是自动检测和解决乌尔都语机器翻译中英语分歧。

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