Automatic word segmentation is the basis of NLP.
自动分词技术是自然语言处理的基础工程。
Word-based approach is the mainstream on Japanese word segmentation.
基于词的方法是日语分词的主流方法。
A fast algorithm for generating Chinese word segmentation digraph was given.
给出了一种汉语分词有向图的快速生成算法。
Overlapping ambiguity is a major type of ambiguity in Chinese word segmentation.
交集型分词歧义是汉语自动分词中的主要歧义类型之一。
Transliterated person names identification is the necessary part of Chinese word segmentation.
西方姓名译名的自动识别为汉语自动分词不可或缺的组成部分。
Maximum match method is optimized to improve the speed of the system during the word segmentation.
切分过程系统利用改进正向最大匹配算法，提高了分词切分效率。
Then after word segmentation, we introduced Hidden Markov Model to identify most of musical entities.
然后，在分词之后引入隐马尔科夫模型来识别大部分音乐实体。
In this paper, the Word Segmentation technology of Chinese Text Classification is debated emphatically.
本文对中文文本分类的分词技术进行了着重讨论。
This paper describes the word segmentation of database natural language query based on restricted Chinese.
对数据库受限汉语自然语言查询语句进行分词处理。
The method improves the accuracy of word segmentation, by combining morphology and syntax with language situation.
该方法建立在词法和句法基础上，从语境角度分析歧义字段，提高分词准确率。
Using the result of word segmentation we give a comprehensive feature weight calculation and we get the feature words set.
对分词的结果再进行综合加权处理，最终得到文档的特征概念集。
Index module: first of all, discuss the design method of Chinese word segmentation and choose a word segmentation algorithm.
索引模块中：首先，讨论了中文分词的设计思想，选择了分词的算法。
There are two kinds of statistical word segmentation, one is by character labeling and the other is based Omni-segmentation.
基于统计的中文分词按照分类单位划分，通常可分为基于汉字标注的分词和基于全切分图的分词两种方法。
In this thesis, the goal of a general purpose word segmentation system is presented, its principle and schemes are discussed.
本文提出了通用分词接口的目标，论述了它的原理和设计方案。
A new word segmentation system based on phraseology is proposed, and the corresponding word segmentation lexicon is designed.
提出了一种基于语词的分词系统，设计了相应的分词词典。
Subjects from both groups were successful at word segmentation, although the group that tried harder performed a little better.
两组实验对象都能成功地完成词切分，虽然认真分析的那组表现更好一点。
This paper gave a research on repetitive word segmentation that existed universally in omni-word segmentation for written Chinese.
针对书面汉语全切分中普遍存在的重复切分问题进行了研究。
Aiming at the dissatisfied effect of Chinese word segmentation to Email texts, an improved Maximum Match Based Approach is presented.
针对邮件文本分词效果较差的特点，提出采用一种改进的最大匹配法来进行中文分词的方法。
Here we explore SVM for a Chinese word segmentation task, use the context attributes and rule-based attributes as the features for a sample.
本文首次使用SVM方法来完成中文分词的任务，使用上下文窗体属性和基于规则的属性对样本进行刻画。
This has proved that in SLM-CIR model, the technology of the word segmentation is not a key factor of influencing the performance of models.
这就说明了在SLM - CIR模型中，分词技术不是影响模型性能的关键因素。
Combinational ambiguity is a challenging issue in Chinese word segmentation in that its disambiguation depends on the contextual information.
组合型歧义切分字段一直是汉语自动分词的难点，难点在于消歧依赖其上下文语境信息。
The paper introduces the design and implementation of Chinese word segmentation system, which is based on statistic the frequency of the word.
论文介绍了一个基于词频统计的中文分词系统的设计和实现。
Different from English, there are no interval marks between words in Chinese, so it is difficult for word segmentation to identify ambiguous words.
汉语不同于英语，词之间没有间隔标记。而汉语分词是文本分析的第一步，且存在歧义切分，因此分词问题成为汉语分析的首要难题。
Chinese word segmentation is a basic research issue on Chinese NLP areas such as information retrieval, machine translation, text correction, and so on.
汉语分词是信息检索、机器翻译、文本校对等中文信息处理重要领域的基础。
As a basic component of Chinese word segmentation system, the dictionary mechanism influences the speed and the efficiency of segmentation significantly.
词典是中文自动分词的基础，分词词典机制的优劣直接影响到中文分词的速度和效率。
In this paper, the dictionary mechanism is dynamic TRIE tree, and we have designed the Chinese word segmentation dictionary. The dictionary USES less memory.
论文采用动态TRIE索引树的词典机制，设计并实现了汉语分词词典，有效地减少了词典空间。
Automatic word segmentation for the Chinese language is a fundamental and difficult problem in the field of computer Chinese language information processing.
汉语的自动分词，是计算机中文信息处理领域中一个基础而困难的课题。
Therefore word segmentation is a key sub-problem of Chinese information processing, such as machine translation, information retrieval and text classification.
因此，分词在机器翻译、信息检索、文本分类等中文信息处理的各项任务中都发挥着基础性的重要作用。
Therefore word segmentation is a key sub-problem of Chinese information processing, such as machine translation, information retrieval and text classification.
因此，分词在机器翻译、信息检索、文本分类等中文信息处理的各项任务中都发挥着基础性的重要作用。
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