N-Gram

Domain Voice Command Recognition Based on N-Gram Model

基于n元语法模型的领域语音指令识别

In this current n-gram situation , the grammar is fixed .

在这个当前的n元语法情景中，文法是固定的。

N-gram Technology Application Study in Computer Processing of Chinese Language

N-gram技术在中文词法分析中的应用研究

Model . Statistical N-gram Method Used in Machine Translation System

N-gram统计模型在机器翻译系统中的应用

Post-processing Study of Chinese Character Recognition Based on N-gram Language Model

基于N-gram语言模型的汉字识别后处理研究

The Research of Chinese Automatic Word Segmentation System Based on N-Gram Statistical Model

基于N元语法的汉语自动分词系统研究

An n-gram Neighbour Character based Feature Extraction Method for Chinese Text

基于n-gram相邻字的中文文本特征提取算法

Approach of Chinese Document Automatic Classification Based on the Frequency of N-Gram

一种基于N-Gram技术的中文文献自动分类方法

Algorithm Research on Classifying Web Users Navigation Patterns Based on N-Gram

基于N-gram的Web用户浏览模式分类算法研究

Chinese text expression based on N-gram model .

基于N-gram的模型的中文文本表示。

Research and Implementation of On-line Text Categorization System Based on N-gram Chinese Characters

基于N元汉字串模型的文本表示和实时分类的研究与实现

A Method Combined N-gram Based to Filter the Chinese Spam

一种基于N-gram组合的中文垃圾邮件过滤方法

A word segmentation algorithm for Chinese language based on n-gram models and machine learning

一种基于N-gram模型和机器学习的汉语分词算法

Improved N-gram Prediction Model Research Based on Context-Aware Environment

基于情景感知的N-gram改进预测模型研究

N-Gram Based High Speed Chinese Encoding Recognizing System

基于N-Gram模型的高速汉字编码识别系统

Chinese Spelling Correction in Search Engines Based on N-gram Model

基于N-gram统计模型的搜索引擎中文纠错

Research on automatic evaluation of MT based on n-gram co-occurrence

基于N-gram共现的机器翻译自动评估的研究

Comparison of Web-Based Unsupervised Translation Disambiguation Word Model and N-gram Model

基于Web的无指导译文消歧词模型与N-gram模型及对比研究

It is applied to train an N-gram model for probabilistic Chinese word segmentation .

本文用该算法训练了中文的基于词的N-gram模型，并应用于概率分词。

The method combining n-gram model and EM algorithm achieves a good effect in the close and opening test .

这种切分算法结合经典n元模型以及EM算法，在封闭和开放测试环境中分别取得了比较好的效果。

The algorithm uses a sequence hash index with n-gram to speed the fault tolerance query processing .

此算法采用n-gram的顺序hash索引，加快了可容错的查询处理速度。

Archaic Chinese Punctuating Sentences Based on Context N-gram Model

基于前后文n-gram模型的古汉语句子切分

An N-Gram Prediction Model Based on Web-Log Mining

基于Web-LogMining的N元预测模型

OpenE : an Automatic Method of MT Evaluation Based on N-gram Co-occurrence

OpenE：一种基于n-gram共现的自动机器翻译评测方法

A Chinese Text Classifier Based on n-gram Language Model and Chain Augmented Na ? ve Bayesian Classifier

基于n-gram语言模型和链状朴素贝叶斯分类器的中文文本分类系统

The experiment result shows that the mixed classifier outperforms the single N-Gram classifying method based on machine learning .

根据该方法设计并实现了一个基于规则和N-Gram统计分类相结合的双层分类器，进行了双层分类模型与单独的N-Gram分类模型的实验，结果表明辅以规则补充的双层分类器具有更好的分类性能。

The experiments show that the accuracy of n-gram language models in text classification is better than traditional classifying models .

实验结果显示：N元模型分类器具有更好的分类精度。

With K-means method , examined the performances of Chinese character N-gram features , word features and their combination .

实验使用K-MEANS聚类方法，检验了字特征、字串特征、词特征以及它们的组合方式的聚类效果。

A Comparative Study of Word-Segment and N-Gram Categorization System

基于分词和基于N-Gram的网页分类系统比较研究

The compared indexing strategies include Chinese character indexing , word indexing and n-gram indexing based on Chinese characters .

本文比较的索引策略包括基于字的索引、基于词的索引和基于字的n元文法的索引。