Word segment was a core technology of campus search engine project.
中文分词是校园网搜索引擎项目的一个核心技术。
Traditional method faces the difficulties that need to handle high dimension vector and Chinese word segment.
传统的中文文本聚类方法需要对高维向量进行处理，有对中文文本需要进行分词处理等困难。
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。
We divide the system into four main tasks: word segment and sentence segment, syntax analysis, keyword extraction and sentence similarity computing.
本文将阅卷过程分解为四个主要任务来进行的：分句分词、句法分析、关键词提取和相似度计算。
It is an integrated technical processing system which is supported by the technique of word segment, lexical analysis, retrieval, entity recognition and answer extraction.
它是综合的技术处理系统，其设计与开发需要分词、词法分析、检索、实体识别、答案抽取等几个方面的技术支撑。
Natural language processing used Automatic Segment based on Two-letters-word-family structure, which is succinct, high speed and easy to achieve.
自然语言理解采用基于两字词簇的自动分词技术，该方法简洁、速度快，易于实现。
Aiming at processing of Chinese address information, a segment mechanism based on the feature word is proposed.
针对中文地址类信息的处理，建立了包含分词规则的元数据库，提出一种相似重复检测模型。
Aiming at processing of Chinese address information, a segment mechanism based on the feature word is proposed.
针对中文地址类信息的处理，建立了包含分词规则的元数据库，提出一种相似重复检测模型。
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