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A Web Based Punjabi to Hindi Statistical Machine Translation System

机译:一种基于Web的旁遮普地区统计机器翻译系统

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Machine translation (MT) system translates one natural language into another language with the help of computers. MT is a key application in the field of natural language processing. In proposed system, Statistical Machine Translation (SMT) approach has been used for developing Punjabi to Hindi Machine Translation System. In SMT, every sentence in the target language i.e. Hindi is a translation of the source language i.e. Punjabi with some probability and the best translation will be of high probability which the system will attain in the form of sentence. The key activities involved during translation process are pre-processing, translation engine and post processing. Unigram algorithm, N-Gram string matching algorithm etc formed the basis for solving these issues. The accuracy of the system has been evaluated using subjective tests i.e. intelligibility test and accuracy test. A proposed system is found to perform better than the existing system.
机译:机器翻译(MT)系统在计算机的帮助下将一种自然语言转化为另一种语言。 MT是自然语言处理领域的关键应用。在提出的系统中,统计机器翻译(SMT)方法已被用于开发旁遮普机器翻译系统。在SMT中,目标语言中的每个句子i.E.HINDI是源语言的翻译,即旁遮普派对与一些概率,最好的翻译将具有高概率,系统将以句子形式获得的高概率。在翻译过程中涉及的关键活动是预处理,翻译引擎和后处理。 UNIGRAM算法,N-GRAN串匹配算法等形成了解决这些问题的基础。使用主观测试的系统进行了评估了系统的准确性。可用性测试和准确性测试。发现建议的系统比现有系统更好。

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