但是，词类标注并没有像语体标注那么简单。
So POS labeling has attracted more and more attention from scholars.
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.
本文将简要介绍单词的分类与词类标注的相关内容，在此基础上介绍句法处理的一个计算机模型：上下文无关语法。
This paper briefly introduces the classification of words and part-of-speech tagging, then introduces a computer model of syntactic processing: context-free grammar.
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。
This approach expands the POS tagging set based on the characteristic of answering text and the demand of key information distilling.
各词条都标注词类，按意义和用法分项详加说明。
All the entry words are given parts of speech and explanations about the meaning and usage.
兼类词的词类排歧是汉语语料词性标注中的难点问题，它严重影响语料的词性标注质量。
The disambiguation of multi-category words is one of the difficulties in part-of-speech tagging of Chinese text, which affects the processing quality of corpora greatly.
兼类词的词类排歧是汉语语料词性标注中的难点问题，它严重影响语料的词性标注质量。
The disambiguation of multi-category words is one of the difficulties in part-of-speech tagging of Chinese text, which affects the processing quality of corpora greatly.
应用推荐