基于短语的机器音译建模统计机器翻译问题

NEWS@IJCNLP Pub Date : 2009-08-07 DOI:10.3115/1699705.1699737

Taraka Rama, Karthik Gali

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引用次数: 47

摘要

在本文中，我们使用流行的基于短语的SMT技术来完成英语-印地语对的机器音译任务。采用最小错误率训练来学习模型权值。我们在测试集上达到了46.3%的准确率。结果表明，这些技术可以成功地用于机器音译任务。

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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Modeling Machine Transliteration as a Phrase Based Statistical Machine Translation Problem

In this paper we use the popular phrase-based SMT techniques for the task of machine transliteration, for English-Hindi language pair. Minimum error rate training has been used to learn the model weights. We have achieved an accuracy of 46.3% on the test set. Our results show these techniques can be successfully used for the task of machine transliteration.

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NEWS@IJCNLP

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