Machine Translation based on Neural Network Language Models

被引：0

作者：

Zamora-Martinez, Francisco ^{[1
]}

Jose Castro-Bleda, Maria ^{[2
]}

机构：

[1] Univ CEU Cardenal Herrera, Valencia 46115, Spain

[2] Univ Politecn Valencia, E-46022 Valencia, Spain

来源：

PROCESAMIENTO DEL LENGUAJE NATURAL | 2010年 / 45期

关键词：

Machine Translation; Neural Network Language Models; n-gram-based Machine Translation;

D O I：

暂无

中图分类号：

H0 [语言学];

学科分类号：

030303 ; 0501 ; 050102 ;

摘要：

This paper describes a Machine Translation system that integrates a Neural Network Language Model in the decoding process. This work is motivated by the excellent performance of these connectionist language models. So far, the use of Neural Network Language Models in the translation systems is uncoupled: they are used in a second stage to rerank a N-best hypothesis list or to parse a word graph containing the N-best list. Our goal is to show the feasibility of using these language models within a fully integrated system.

引用

页码：221 / 228

页数：8

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