首页> 外文会议>International Symposium on Computer and Information Sciences(ISCIS 2006); 20061101-03; Istanbul(TR) >Lexical Ambiguity Resolution for Turkish in Direct Transfer Machine Translation Models
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Lexical Ambiguity Resolution for Turkish in Direct Transfer Machine Translation Models

机译:直接转移机器翻译模型中土耳其语的歧义解

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摘要

This paper presents a statistical lexical ambiguity resolution method in direct transfer machine translation models in which the target language is Turkish. Since direct transfer MT models do not have full syntactic information, most of the lexical ambiguity resolution methods are not very helpful. Our disambiguation model is based on statistical language models. We have investigated the performances of some statistical language model types and parameters in lexical ambiguity resolution for our direct transfer MT system.
机译:本文提出了一种在目标语言为土耳其语的直接转移机器翻译模型中的统计词汇歧义解决方法。由于直接传递MT模型没有完整的语法信息,因此大多数词汇歧义解决方法不是很有帮助。我们的消歧模型基于统计语言模型。我们已经研究了一些统计语言模型类型和参数在直接歧义MT系统的词义歧义解析中的性能。

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