word segmentation的例句大全

It is the primary key technical link in natural language processing. The current technology of Chinese word segmentation is working for Chinese text.

它是自然语言处理过程中首要的技术环节，其重要性不言而喻。目前的中文分词技术主要针对中文文本进行分词。

In the domain of Chinese language processing, most of the semantic analyzing theories base on Chinese word segmentation.

而在汉语的计算机处理中，大部分的语义分析都是以汉语分词作为基础。语义上主要是更的辖域和句子的语义重心不同；

Pre-procedure was introduced, including page crawler, content extraction and word segmentation.

介绍了网页抓取、正文提取和词语切分的预处理过程。

When user submits the query sentence, system will process word segmentation, remove the relevant auxiliary word, finally extracted the core words of query and then search the words.

对用户提交的以自然语言表述的问题进行分词处理，去除相关辅助词，最后提取出核心词进行查询。

The former is the basic, mainly including special symbol conversion and word segmentation.

其中文本分析是语音合成的基础，主要包括：特殊符号转换、词的切分等。

Recognition of proper noun is one of the most important parts in word segmentation system in modern Chinese.

专名识别技术是影响中文自动分词精度的一个重要方面，也是自动分词技术的难点之一。

A Chinese word library system is given which adopts PATRICIA tree based on dictionary mechanism and flexible maintenance and retrieve method. The system applies not only to normal Chinese word segmentation but also to serial and parallel omni-segmentation.

给出了一个词库维护及检索系统，它采用基于PATRICIA tree的分词词典机制及灵活的词库维护及检索方法，不仅适用于传统的机械切分，更适合于串行和并行全切分。

Using a Fragment Filter to Improve Chinese Word Segmentation

利用单字碎片过滤改进汉语分词性能

As to Chinese word segmentation, unknown words recognition error, especially proper noun recognition error is major factor for automatic word segmentation error.

对于中文分词，未登录词识别错误尤其是专有名词识别错误是导致自动分词错误的主要原因之一。

A Chinese input approach implicating word segmentation is presented in this paper.

本文提出了一种隐式分词连写输入法，该方法在中文文本输入的同时进行分词，并将文本以词串的形式在机内保存。

A Chinese Input Approach Implicating Word Segmentation And its Implementation

隐式分词的中文输入法及其实现

A Chinese Input Approach Implicating Word Segmentation& the Only Way to Resolve the Problem of Word Segmentation

隐式分词连写输入方法&解决汉语分词问题的根本途径

This paper concentrates on resolving proper nouns recognition problem about Chinese word segmentation.

本论文主要致力于解决汉语分词中的专有名词识别问题。

Word segmentation ambiguous and distinguish from unknown word into Chinese words are the two obstacles in the technologies of Chinese word segmentation, this dissertation focus on the research of the characteristics and disambiguation of ambiguous segmentation.

其中，分词歧义排歧和未登录词识别成为汉语自动分词的两大障碍，本文集中研究了分词歧义的特征与消歧处理。

Chinese word segmentation system ICTCLAS CAS, which was independently developed by Computing Institute hierarchical based on hidden Markov model, provides a great help for this paper.

中科院计算所采用基于层次隐马尔科夫模型，自主研发出来的ICTCLAS中文分词系统对本文提供了莫大的帮助。

Using Word-based Bi-gram as a Discriminator for Crossing Ambiguities in Chinese Word Segmentation

用基于词的二元模型消解交集型分词歧义

The simulation result shows that this system can efficiently gain knowledge and enhance accuracy ratio of word segmentation.

模拟结果表明该系统能有效获取知识，获得较高的字段切分正确率。

Application of Evolution Algorithm ina Chinese Language Automatic Word Segmentation

演化算法在中文自动分词中的应用

Dictionary Design and Word Segmentation Research in Chinese Query of GIS

GIS中文查询系统的词典设计与分词研究

A new word segmentation strategy based on phraseology

一种基于语词的分词方法