word segmentation的例句大全

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

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。

For Chinese natural language processing, Chinese word segmentation is the first step in text analysis.

对于汉语的自然语言处理来说，汉语自动分词是文本分析的第一个步骤。

Chinese text automatic word segmentation technology is an important link of Chinese information processing, Chinese text automatic word segmentation algorithm for Chinese word segmentation are closely related to the performance of the system.

中文文本自动分词技术是中文信息处理的重要环节，中文文本自动分词算法与中文分词系统的性能紧密相关。

The whole process of text representation were discussed& word segmentation, building stop words list, feature selection, weight computation and generating vector space.

讨论了文本表示的整个过程&分词，建立停用词表，特征选择，权重计算，生成向量空间。

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。

They are the segmentation effect test, word accuracy test, test of Onomastics identification, word segmentation speed test and resource overhead test.

它们分别是分词效果测试、分词准确率测试、人名识别和地名识别测试、分词速度测试和资源开销测试。

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。

Automatic Segmentation and POS ( Part-of-speech) tagging directly impact on the named entity recognition. This paper used the Massive Intelligent Segmentation system to the text word segmentation and Tagging.

自动分词和词性标注直接影响命名实体的识别，本文采用了海量智能分词系统对文本进行分词和标注。

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。

The paper proposes an approach to language independent text classification without word segmentation.

本文提出了一种独立于语种不需分词的文本分类方法。

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。

According to the mobile terminal operation ability and storage capacity, this paper does not use large participle word library, but the simple Bigram word segmentation method, we make pretreatment by means of removing stop words segmentation, get the message content feature vector.

针对移动终端的运算能力和存储能力，本文没有采用大型的分词词库，而是采用简单易行的Bigram分词方法，通过去除停用词等手段对分词结果进行预处理，得到短信内容的特征向量。

According to the structure and storage of the directory, we design and apply a word segmentation algorithm on the text to segment the words and label the features.

然后使用一种适合目录信息的结构和存储格式的分词方法，对目录文本进行分词处理并对目录信息中的特征项进行标注。

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