Others rely on automatic text classification techniques. 其他方式依赖于自动文本分类技术。
Although automatic text translators are now reasonably effective, voice recognition has proved more challenging. 尽管自动文本语言翻译目前相当有效,语音识别还是十分具有挑战性的。
Dynamic Class Expansion in Automatic Text Categorization 文本自动分类中的动态类别扩展研究
A color selection area and automatic text padding function also aid in the creation of graphs to make the process easier. 一个有色的选区和自动文本填充功能也辅助你使得创建图形的过程更容易。
Fast Web automatic text extraction algorithm based on template 一种基于模板的快速网页文本自动抽取算法
Automatic text categorization is an effective method to increase efficiency and quality of information utilization. 自动文本分类是提高信息利用效率和质量的有效方法。
Automatic Text Summarization with Cognitive Psychological Models 基于认知心理学模型的自动文本摘要生成技术
Review on Automatic Text Categorization Methods Under the Network Environment 网络环境下文本自动分类方法研究综述
Automatic Text Categorization Based on Rough Set Theory 基于粗糙集理论的文本自动分类研究
The Design and Application of A Dynamic Program Algorithm in Automatic Text Collating 自动文字校对动态规划算法的设计与实现
Automatic text summarization is an important issue in Natural Language Processing. 自动文摘一直是自然语言处理领域研究的重点和难点。
Research and Application of Automatic Text Categorization Based on Content Management 基于内容管理的文本自动分类的研究与应用
Brief Talk About the Guidance of Knowledge Management On IT Application in Education Automatic Text Summarization with Cognitive Psychological Models 浅谈知识管理对信息技术在教育中运用的指导基于认知心理学模型的自动文本摘要生成技术
Automatic Text Summarization Approach Based on Textual Unit Association Networks 一种基于文本单元关联网络的自动文摘方法
A text classification system based on improved classification model presented in this paper is used to realize automatic text classification. 提出一种基于改进的分类模型的文本分类系统来实现文本的自动分类。
Automatic text categorization ( ATC) is one of the hot issues in the fields of machine learning, natural language processing and information retrieval. 文本自动分类是目前机器学习、自然语言处理和信息资源检索领域的研究热点之一。
Researches on automatic text classification in Kazakh and develops a system of automatic text classification for Kazakh. 研究哈萨克语自动文本分类,并实现哈萨克语文本自动分类系统。
Many techniques and algorithms for automatic text categorization have been devised and proposed. 尽管已有许多技术和算法用于文本的自动分类,但是,对这些技术和算法本身效力的挖掘还远远不够,仍留有很大的改进空间。
Some essential problems in learning-based automatic text categorization ( TC) have been studied in this dissertation. A series of research achievements have been obtained as the consequences of this study. 本文对基于学习的自动文本分类中的若干基本问题进行了深入的研究,取得了一系列研究成果。
This article studies the statistical automatic text classification methods in the National Science Digital Library. 本文在国家科学数字图书馆的应用背景下,研究基于统计的自动文本分类方法。
This paper introduces a new evaluation method for automatic text summarization. 论文提出了一种新的评价方法(F-new-measure),并应用于文本自动摘要中。
Feature selection is a valid method to reduce the dimension of text vector in automatic text categorization system. 在自动文本分类系统中,特征选择是有效降低文本向量维数的一种方法。
This paper introduced a mechanic automatic text summarization system. 本文介绍了一个机械式自动文本摘要系统。
This paper focuses on the classification method in automatic text summarization and applies it into automatic text summarization. 本文研究了文本自动摘要中的分类思想并将有监督的分类技术应用于文本自动摘要中。
In text classification, we advance an automatic text classification way based on clustering and Rough Set Theory. 在文本分类方面,本文提出了一种基于聚类和粗糙集理论相结合的文本自动分类方法。
Automatic text classification is one of the key subjects in intelligent information processing. 文本自动分类是当前智能信息处理中一类重要的研究课题。
Nowadays, automatic text classification and retrieval has been a hot spot in the natural language processing field. 目前文本自动分类与检索已经成为自然语言处理领域研究的一大热点。
Automatic text summarization based on discourse structure developed rapidly in recent years. 基于篇章结构的自动文本摘要方法在近年来发展迅速。
Automatic text classification technology is now gradually become the key technology of processing and organizations the mass text information. 自动文本分类技术现在已经逐渐成为处理和组织大量文本信息的关键技术。
Automatic text Categorization is an important research area of data mining and machine learning. In this thesis we use automatic text categorization techniques to solve the problem of marine literature categorization. 文本自动分类是数据挖掘和机器学习中非常重要的研究领域,本文将文本自动分类技术应用于海洋信息处理,主要研究通过机器学习的方法解决海洋文献分类问题。