A cross language text categorization algorithm from the perspective of information retrieval

Yue Liu; Ming Tian; Weitao Zhou; Lin Dai

doi:10.1109/ICICEE.2012.74

A cross language text categorization algorithm from the perspective of information retrieval

Yue Liu^*
, Ming Tian
, Weitao Zhou
, Lin Dai

^*此作品的通讯作者

计算机学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

4 引用（Scopus）

摘要

In this paper, we propose a novel method that performs Cross Language Text Categorization (CLTC) from the perspective of Information Retrieval. We present an input document in target language in the form of a query in source language. Then we retrieve the training documents in source language and find K most relevant results. At last, we use the class labels of the K results to predict the class of the input document. The only external resource required by our method is a bilingual dictionary. Experimental results show that our method gives promising performance, which is better than translation-based method.

源语言	英语
主期刊名	Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012
页	254-257
页数	4
DOI	https://doi.org/10.1109/ICICEE.2012.74
出版状态	已出版 - 2012
活动	2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012 - Xi'an, 中国期限: 23 8月 2012 → 25 8月 2012

出版系列

姓名	Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012

会议

会议	2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012
国家/地区	中国
市	Xi'an
时期	23/08/12 → 25/08/12

访问文件

10.1109/ICICEE.2012.74

其它文件与链接

链接到 Scopus 的出版物

引用此

Liu, Y., Tian, M., Zhou, W., & Dai, L. (2012). A cross language text categorization algorithm from the perspective of information retrieval. 在 Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012 (页码 254-257). 文章 6322363 (Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012). https://doi.org/10.1109/ICICEE.2012.74

Liu, Yue ; Tian, Ming ; Zhou, Weitao 等. / A cross language text categorization algorithm from the perspective of information retrieval. Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012. 2012. 页码 254-257 (Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012).

@inproceedings{e8dbba583d0845b0b8a571854a97508d,

title = "A cross language text categorization algorithm from the perspective of information retrieval",

abstract = "In this paper, we propose a novel method that performs Cross Language Text Categorization (CLTC) from the perspective of Information Retrieval. We present an input document in target language in the form of a query in source language. Then we retrieve the training documents in source language and find K most relevant results. At last, we use the class labels of the K results to predict the class of the input document. The only external resource required by our method is a bilingual dictionary. Experimental results show that our method gives promising performance, which is better than translation-based method.",

keywords = "Cross Language Text Categorization, Information Retrieval, Text Categorization",

author = "Yue Liu and Ming Tian and Weitao Zhou and Lin Dai",

year = "2012",

doi = "10.1109/ICICEE.2012.74",

language = "English",

isbn = "9780769547923",

series = "Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012",

pages = "254--257",

booktitle = "Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012",

note = "2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012 ; Conference date: 23-08-2012 Through 25-08-2012",

}

Liu, Y, Tian, M, Zhou, W & Dai, L 2012, A cross language text categorization algorithm from the perspective of information retrieval. 在 Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012., 6322363, Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012, 页码 254-257, 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012, Xi'an, 中国, 23/08/12. https://doi.org/10.1109/ICICEE.2012.74

A cross language text categorization algorithm from the perspective of information retrieval. / Liu, Yue; Tian, Ming; Zhou, Weitao 等.
Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012. 2012. 页码 254-257 6322363 (Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - A cross language text categorization algorithm from the perspective of information retrieval

AU - Liu, Yue

AU - Tian, Ming

AU - Zhou, Weitao

AU - Dai, Lin

PY - 2012

Y1 - 2012

N2 - In this paper, we propose a novel method that performs Cross Language Text Categorization (CLTC) from the perspective of Information Retrieval. We present an input document in target language in the form of a query in source language. Then we retrieve the training documents in source language and find K most relevant results. At last, we use the class labels of the K results to predict the class of the input document. The only external resource required by our method is a bilingual dictionary. Experimental results show that our method gives promising performance, which is better than translation-based method.

AB - In this paper, we propose a novel method that performs Cross Language Text Categorization (CLTC) from the perspective of Information Retrieval. We present an input document in target language in the form of a query in source language. Then we retrieve the training documents in source language and find K most relevant results. At last, we use the class labels of the K results to predict the class of the input document. The only external resource required by our method is a bilingual dictionary. Experimental results show that our method gives promising performance, which is better than translation-based method.

KW - Cross Language Text Categorization

KW - Information Retrieval

KW - Text Categorization

UR - https://www.scopus.com/pages/publications/84870036410

U2 - 10.1109/ICICEE.2012.74

DO - 10.1109/ICICEE.2012.74

M3 - Conference contribution

AN - SCOPUS:84870036410

SN - 9780769547923

T3 - Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012

SP - 254

EP - 257

BT - Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012

T2 - 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012

Y2 - 23 August 2012 through 25 August 2012

ER -

Liu Y, Tian M, Zhou W, Dai L. A cross language text categorization algorithm from the perspective of information retrieval. 在 Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012. 2012. 页码 254-257. 6322363. (Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012). doi: 10.1109/ICICEE.2012.74

A cross language text categorization algorithm from the perspective of information retrieval

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