1) part-of-speech tagging
词性标注
1.
Unsupervised learning of part-of-speech tagging using decision trees in English TTS;
英文文语转换系统中基于决策树的词性标注的非监督学习
2.
A heuristic chinese part-of-speech tagging algorithm;
一种启发式的汉语词性标注算法
3.
The Research of Applying Conditional Random Fields to Chinese Word Segmentation and Part-Of-Speech Tagging;
应用条件随机场进行汉语分词和词性标注的研究
2) part of speech tagging
词性标注
1.
Improved transformation based part of speech tagging of Latin Mongolian;
改进的基于转换方法的拉丁蒙文词性标注
2.
Considering the disadvantages of the statistical approach and rule approach in the part of speech tagging, a statistical approach is integrated efficiently with the rule approach.
针对词性标注中单独使用概率方法或规则方法的缺陷 ,将概率方法和规则方法有机地结合起来 ,并引入了部分句法分析排除切分歧义和标注歧义 。
3.
A learning algorithm is presented to acquire and optimize rules which are applied on part of speech tagging.
本文提出一种词性标注规则自动学习算法。
3) POS tagging
词性标注
1.
The application of HMM and negative feedback model in POS tagging;
HMM和负反馈模型在词性标注中的应用
2.
Research on the Consistency Check and Auto-collation on POS Tagging of Chinese Corpus;
汉语语料库词性标注一致性检查及自动校对方法研究
3.
The precision of POS tagging to syntactic category has influenced badly the quality of POS tagging.
词性标注作为汉语自动分词以至中文信息处理领域比较关键的问题之一,是该领域的研究难点也是研究重点,对兼类词词性标注的正确率严重影响着词性标注的质量。
4) Tagging set
词性标注集
6) the consistence of part of speech tagging
词性标注一致性
1.
In the deep processing of large-scale corpus, it has been a chief problem to assure the consistence of part of speech tagging to build the high-quantity corpus.
本文提出了基于聚类和分类的语料库词性标注一致性检查的新方法 ,该方法避开了以前一贯采用的规则或统计的方法 ,利用聚类和分类的思想 ,对范例进行聚类并求出阈值 ,对测试数据分类来确定其标注的正误 ,进而得出每篇文章的词性标注一致性情况 ,进一步保证大规模语料库标注的正确
补充资料：词性
1.词法上指作为划分词类的根据的词的特点。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条