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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
The whole process was divided into two steps. First to use the hidden Markov model for part-of-speech tagging, and then made use of match rules to amend and convert the result of the HMM step.
整个识别过程主要分成两个步骤，首先使用隐马尔可夫模型进行词性标注，然后利用具有优先级别的匹配规则对第一步的结果进行修正和转换。
Concerning the difficulties in part-of-speech tagging in English present participle, the authors analyzed the drawbacks of Hidden Markov Models (HMM) and proposed Bayesian decision tree model.
针对英文现在分词词性标注这一特定问题存在的难点分析了隐马尔可夫模型(HMM)的不足，提出了贝叶斯决策树模型。
Experiments on chunking recognition and Part-of-Speech tagging are conducted to show that the new data structure greatly speeds up the feature matching process while keeping the same space complexity.
基本短语识别和词性标注的实验显示，这种新的数据结构的确能够极大地加快最大熵方法执行系统的速度，同时保持空间复杂度不变。
We realize the three tasks with two pieces of module: the word segment and part of speech tagging module, the syntax analysis module.
将这三个任务用两个模块来实现：分词和词性标注模块、句法分析模块。
This paper presents a draft, "The part-of-speech and tagging set standards of Tibetan Information Process", which aims to provide feasible parameters for automatic segmentation and tagging.
本文提出了《信息处理用藏文词类及标记集规范》(征求意见稿)，旨在对藏语文本自动分词和自动标注提供一个可行的参数。
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。
Furthermore, for part of speech tagging usually causes semantic loses, semantic tagging is suggested to be the method for medical information extraction.
并且，针对词性标注容易引起语义缺失的问题，提出了以语义标注作为医案信息抽取规则的方案。
In order to set up part of speech tagging corpus efficiently, one practical Chinese syntax compilation and analyse assistant system is designed and implemented.
为高效地建立句法标注语料库，设计研发了一个实用的中文句法编辑与分析辅助系统。
Probability parameter obtaining is one of the two main study directions of part of speech tagging based on statistics.
概率参数的获取是基于统计的词性标注的两个主要研究方向之一。
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.
在对大规模语料库进行深加工时，保证词性标注的一致性已成为建设高质量语料库的首要问题。
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。
Part of speech tagging is the basis of lexical analysis.
词性标注是词法分析的基础。
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。
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。
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