| 国外言语行为自动标注研究进展 |
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| 引用本文： | 孙亚,刘思瑶,陈帅.国外言语行为自动标注研究进展[J].北京科技大学学报(社会科学版),2017,33(5):12-18. |
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| 作者姓名： | 孙亚 刘思瑶 陈帅 |
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| 作者单位： | 对外经济贸易大学英语学院,北京,100029;对外经济贸易大学英语学院,北京,100029;对外经济贸易大学英语学院,北京,100029 |
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| 基金项目： | 北京市社会科学基金重点项目"北京商务人才外语沟通能力的语言学理论基础研究"，对外经济贸易大学研究生课程建设项目《商务语用学》( |
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| 摘 要： | 文章采用统计方法考察了近十年在国外期刊上与言语行为自动标注相关的论文，进而呈现国外言语行为自动标注研究的进展。近十年言语行为自动标注以言语行为理论为基础，对文本、音频等言语行为进行标注，热点话题主要为情感识别、文本挖掘、人机对话、机器翻译等，研究体裁也多集中于医疗对话、商务会议、信函、网络语言等。文章对国内未来言语行为自动标注研究有一定的启示意义。
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| 关 键 词： | 言语行为 自动标注 标注体系 |
| 收稿时间： | 2017-03-27 |
The Recent International Advances in Studies of Speech Act Automatic Annotation and Their Implications |
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| SUN Ya,LIU Si-yao,CHEN Shuai.The Recent International Advances in Studies of Speech Act Automatic Annotation and Their Implications[J].Journal of University of Science and Technology Beijing(Social Sciences Edition),2017,33(5):12-18. |
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| Authors: | SUN Ya LIU Si-yao CHEN Shuai |
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| Institution: | School of International Studies, University of International Business and Economics, Beijing 100029, China |
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| Abstract: | The paper reviews the articles published in international journals in the past ten years in order to present the recent advances in speech act automatic annotation studies with statistical method.The results show that, with speech act theory as the primary theoretical basis,the hot topics in this area are mainly emotion recognition, text mining, spoken dialogue system, and machine translation, and research genres are mostly medical dialogue, business meetings, letters, and network language. |
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