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1·But, the relevant Mongolian automatic part-of-speech tagging studies still lack.

而有关蒙古文自动词性标注方面的研究还欠缺。

2·The model parameters to be used VITERBI automatic part-of-speech tagging algorithm.

得到模型参数之后采用VITERBI算法进行自动词性标注。

3·This paper first explores unsupervised part-of-speech tagging for Chinese via monolingual corpus.

本文首先探索了基于单语料库的无监督中文词性标注。

4·This paper describes a method of Uigur part-of-speech tagging with third-order Hidden Markov Model.

本文提出了将三阶隐马尔可夫模型运用到维吾尔语词性标注中的方法。

5·In this paper, we study the method of the Chinese Part-of-Speech tagging and analyze the rule method and the statistic method.

本文对词性标注的方法进行了研究，分析了基于规则的方法和基于统计的方法的优缺点。

6·We analyzed, designed and achieved a module of Chinese word segmentation and Part-Of-Speech Tagging based on Condition Random Fields model.

分析、设计和实现了一个基于条件随机场模型的汉语分词和词性标注模块。

7·This paper briefly introduces the classification of words and part-of-speech tagging, then introduces a computer model of syntactic processing: context-free grammar.

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。

8·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。

9·Shallow English language parsing customized for novelty detection includes sentence boundary detection, tokenization, part-of-speech tagging, and morphological analysis.

针对新信息检测的英文浅层语言分析主要包括断句、词汇切分、词性标注以及词形还原等自然语言处理过程。

10·The former includes Chinese word segmentation, part-of-speech tagging, pinyin tagging, named entity recognition, new word detection, syntactic parsing, word sense disambiguation, etc .

前者涉及到词法、句法、语义分析，包括汉语分词、词性标注、注音、命名实体识别、新词发现、句法分析、词义消歧等。