广西师范大学学报（自然科学版） ›› 2010, Vol. 28 ›› Issue (3): 122-125.

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基于Tri-training算法的中文短语翻译自由度计算

赵涛涛1, 洪宇1, 华震威2, 赵明明1, 姚建民1,2   

  1. 1.苏州大学计算机科学与技术学院,江苏苏州215006;
    2.苏州市科技局,江苏苏州215006
  • 收稿日期:2010-05-13 出版日期:2010-09-20 发布日期:2023-02-06
  • 通讯作者: 姚建民(1971—),男,河北乐亭人,苏州大学副教授,博士后。E-mail:jyao@suda.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(60970057);江苏省信息工程开放实验室项目资助

Freedom Computation Based on Tri-training in Chinese Phrase Translation

ZHAO Tao-tao1, HONG Yu1, HUA Zhen-wei2, ZHAO Ming-ming1, YAO Jian-min1,2   

  1. 1. School of Computer Science and Technology,Soochow University,Suzhou Jiangsu 215006,China;
    2. Office of Science and Technology of Suzhou,Suzhou Jiangsu 215006,China
  • Received:2010-05-13 Online:2010-09-20 Published:2023-02-06

摘要： 由于Tri-training半监督学习方法对分类算法和样本类型要求比较宽松,并且算法运行速度较快,故采用其进行中文短语的翻译自由度的计算,实验结果表明,Tri-training半监督学习方法能够较大程度地提高短语翻译自由度计算的准确性,对翻译自由度计算有较好的学习效果。

关键词: 翻译自由度, Tri-training, 半监督学习

Abstract: The Tri-training,a semi-supervised learning method,has few restrictions on the classification algorithms and the training data.Moreover,it runs faster than other methods,so it is applied to compute thefreedom in Chinese phrase translation.The result shows that Tri-training can improve the accuracy of the computation of the freedom and have high learning effectiveness.

Key words: freedom of translation, Tri-training, semi-supervised learning

中图分类号: 

  • TP391
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