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1)  Tagging for Verb
动词标注
2)  automatic part-of-speech tagging
词性自动标注
3)  Automated Label of Word Meaning
词义自动标注
4)  word sense tagging
词义标注
1.
Unsupervised word sense tagging method based on transformation rules;
基于转换的无指导词义标注方法
5)  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。
6)  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
补充资料:动词
表示人或事物的动作、存在、变化的词,如‘走、笑、有、在、看、写、飞、落、保护、开始、起来、上去’。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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