检索结果-南通市图书馆

检索条件"作者=Shingo Kuroiwa"

共 2 条记录，以下是1-10 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Semi-automatic Emotion Recognition from Textual Input Based on the Constructed Emotion Thesaurus

Semi-automatic Emotion Recognition from Textual Input Based ...

引用

IEEE自然语言处理与知识工程国际学术会议

作者： shingo kuroiwa Department of Information Science and Intelligent System Faculty of Engineering The University of Tokushima 2-1Minami-josanjimaTokushima770-8506

＜正＞Natural language has attracted importance to some researchers working on Emotion recognizing. Our study focuses on the semi-automatic acquisition technique to obtain the emotion information with the constructed emotion thesaurus we have made. In this paper, we set up a system to recognize the affect sensing from the sentence or the text. During the building processing of our system, we firstly construct a Chinese language emotion thesaurus, the word in which thesaurus has its own classifying (such as commendatory, derogatory sense and neuter and the image value of the corresponding emotion information. Secondly, we set up the system to recognize the object sentence including functions of the syntax analysis, accidence analysis, emotion sensing and emotion computing. The following investigations are presented to show that the concept of "image value" can be used by the constructed system to obtain the emotion information from the sentence based on the constructed emotion thesaurus.

关键词：

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Machine Transliteration

Machine Transliteration

引用

第20届亚太地区语言、信息和计算国际会议

作者： Mohamed Abdel Fattah shingo kuroiwa Faculty of Engineering University of Tokushima 2-1 Minantijosanjima Tokushima Japan 770-8506 Faculty of Engineering University of Tokushima 2-1 Minantijosanjima Tokushima Japan 770-8506

In the present study, we present different approaches for transliteration proper noun pair's extraction from parallel corpora based on different similarity measures between the English and Romanized Arabic proper nouns under consideration. The strength of our new system is that it works well for low-frequency words. We evaluate the presented new approaches using an English-Arabic parallel corpus. Most of our results outperform previously published results in terms of precision, recall and F- Measure.

关键词： Machine Transliteration

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

全选清除本页清除全部题录导出标记到“检索档案”

共1页 << < 1 > >>

回到顶部

执行限定条件

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：