POS tagging can bring "added value" to learner corpora and thus enable in-depth studies of interlanguage.
对学习者语料进行自动词性赋码，可以使语料库获得“增值”，便于对中介语进行更深层次的研究。
Test evaluation criteria were used in POS tagging accuracy and part-category words disambiguation accuracy.
测试评价标准分别采用了词性标注准确率和兼类词排歧准确率。
In this paper, a kind of acquisitive method for Chinese POS tagging rules based on collocation mode, is introduced.
文章介绍了一种基于搭配模式的汉语词性标注规则的获取方法。
So Conditional Random Field (CRF) is introduced to build POS tagging model in this paper, in order to overcome above problems.
论文引入条件随机域建立词性标注模型，易于融合新的特征，并能解决标注偏置的问题。
The inner structure of BaseNP can be analyzed based on different features, among them, POS tagging information is the most important feature.
确定基本名词短语内部结构的因素有多种，但基本名词短语成分的词类信息是最基本的因素。
The system includes some modules such as originally segmenting, POS tagging, ambiguity processing, model smoothing and Unknown Word Recognizing.
系统包括初切分，词性标注、歧义字段处理、模型平滑、未登录词识别等功能模块。
The parser was evaluated on the standard test set with PARSEVAL metric. It performed with the precision of 85.89% and the recall rate of 85.61% on the sentences with gold segmentation and POS tagging.
在公共的测试集上对句法分析器的性能进行了评价，对于正确分词和词性标注的句子，句法分析的精确率和召回率分别达到85.89%和85.61%。
Aiming at the shortcomings occur when the existing methods tagging the web answering text, this paper proposes an approach of part of speech (pos) tagging in answering text.
针对已有词类标注方法在标注网络答疑文本时存在的不足，文章提出了一种面向自然语言答疑文本的词类标注方法。
Aiming at the shortcomings occur when the existing methods tagging the web answering text, this paper proposes an approach of part of speech (pos) tagging in answering text.
针对已有词类标注方法在标注网络答疑文本时存在的不足，文章提出了一种面向自然语言答疑文本的词类标注方法。
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