现代电子技术2017，Vol.40Issue(15)：126-128,132,4.DOI:10.16652/j.issn.1004-373x.2017.15.034
英汉机器翻译中的短语自动识别算法
Phrase automatic identification algorithm for English-Chinese machine translation
朱丽秋1
作者信息
- 1. 曲靖师范学院 外国语学院,云南 曲靖 655000
- 折叠
摘要
Abstract
In order to identify the phrases accurately,a new phrase automatic identification algorithm for English-Chinese machine translation was designed. The phrase corpus with about 580000 English-Chinese words was constructed to give the basic search function of the phrase,and guarantee the truth translation. The phrase is taken as the center point to construct the phrase structure. The standard GLR algorithm is improved. The phrase speech is recognized on the phrase marker of the phrase corpus to obtain the speech recognition results. The syntax function of the linear list is parsed to correct the English-Chinese structural ambiguity in the speech recognition results,and obtain the final recognition result. The algorithm was evaluated by the experi-mental group assessment team in the form of scoring. The evaluation results prove that the algorithm has high phrase recognition accuracy,fast recognition speed,and strong update ability.关键词
英汉机器翻译/短语自动识别/GLR算法/词性识别Key words
English-Chinese machine translation/phrase automatic recognition/GLR algorithm/speech recognition分类
信息技术与安全科学引用本文复制引用
朱丽秋..英汉机器翻译中的短语自动识别算法[J].现代电子技术,2017,40(15):126-128,132,4.
