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。
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。
Chinese word segmentation is the foundation of NLP.
汉语自动分词是中文信息处理的重要基石。
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。
Automatic Chinese word segmentation is the basis of Chinese information processing.
汉语自动分词是进行中文信息处理的基础。
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。
Chinese automatic word segmentation is the first work in Chinese information processing.
汉语自动分词是中文信息处理的首要工作。
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。
The system of Chinese word segmentation based on machine learning is researched and implemented.
本文研究并实现了基于机器学习的分词系统。
Especially, it is very difficult to deal with special noun in Chinese automatic word segmentation.
特别是对专有名词的处理是中文自动分词中的又一个难点。
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。
So, to make the computer capable of handling Chinese text, text must do Chinese word segmentation first.
所以，要使计算机能够处理中文文本，就必须先进行中文分词。
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。
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。
The speed of Chinese word segmentation is very important for many Chinese NLP systems, such as web search engines based on words.
对于基于词的搜索引擎等中文处理系统，分词速度要求较高。
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。
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 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。
Using prefix tree and dynamic programming, this algorithm boosts the speed of Chinese word segmentation and guarantees relatively high precision.
基于前缀树和动态规划，该算法提高了中文分词速度，同时保持了相对较高的分词准确性。
The process of the intelligent scoring is divided into three main steps: Chinese word segmentation, syntactic analysis and similarity computation.
本文将阅卷过程分解为三个主要步骤来进行：中文分词、句法分析和相似度计算。
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。
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。
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