计算机工程与应用2017，Vol.53Issue(14)：138-142,154,6.DOI:10.3778/j.issn.1002-8331.1604-0119
基于机器翻译的维吾尔语形态分析研究
Research on machine translation based Uyghur morphological analysis
摘要
Abstract
To alleviate the data sparseness and reduce the complexity of models construction in Uyghur morphology anal-ysis, it proposes a Statistical Machine Translation(SMT)based morphology analysis model, which considers the pre-stem words(pre-Part-Of-Speech(POS)tagging)in Uyghur word stemming(POS tagging)as the source part of SMT system, and the post-stemming words (POS tags)as the target part. To optimize the model, it uses dictionaries and joint validation in the model. Experimental results show that, the approach outperforms other systems in Uyghur word stem-ming and part-of-speech tagging. Compared with segmentation and POS tagging tasks in English and Chinese, the approach is more suitable for Uyghur.关键词
维吾尔语形态分析/基于机器翻译/词干提取/词性标注/模型优化Key words
Uyghur morphology analysis/machine translation based/word stemming/part-of-speech tagging/model optimization分类
信息技术与安全科学引用本文复制引用
徐春,杨勇,蒋同海..基于机器翻译的维吾尔语形态分析研究[J].计算机工程与应用,2017,53(14):138-142,154,6.基金项目
新疆自治区高校科研计划项目(No.XJEDU2013I27) （No.XJEDU2013I27）
教育部人文社会科学研究项目(No.12XJJC740006) （No.12XJJC740006）
中国科学院西部之光项目(No.XBBS201216,No.LHXZ201301). （No.XBBS201216,No.LHXZ201301）
