基于可比语料库的双语术语抽取研究述评*

doi:10.11925/infotech.1003-3513.2009.10.02

现代图书情报技术

2009, Vol.

Issue (10): 7-13 https://doi.org/10.11925/infotech.1003-3513.2009.10.02

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基于可比语料库的双语术语抽取研究述评*

康小丽¹章成志^1，2王惠临¹

¹（中国科学技术信息研究所北京 100038）
²（南京理工大学信息管理系南京 210094）

Survey on Bilingual Terminology Extraction from Comparable Corpora

Kang Xiaoli¹ Zhang Chengzhi^{1, 2} Wang Huilin¹

¹(Institute of Scientific & Technical Information of China, Beijing 100038， China)
²(Department of Information Management, Nanjing University of Science & Technology, Nanjing 210094，China)

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摘要

对基于平行语料库的双语术语抽取和基于可比语料库的双语术语抽取进行对比分析，说明基于可比语料库的双语术语抽取的研究意义与应用价值。分析总结解决该问题的主要方法及其优化方法，指出存在的问题并展望该研究的未来发展方向。

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	康小丽
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	王惠临

关键词 ：双语术语抽取, 可比语料库, 上下文向量, 向量相似度计算

Abstract：

By comparing with extracting bilingual terminology from parallel corpora, this paper describes the value of extracting bilingual terminology from comparable corpora. It summarizes the main method and the optimization methods of implementation of bilingual terminology extraction. And some perspectives and prospects about bilingual terminology extraction based on the comparable corpus are proposed.

Key words： Bilingual terminology extraction Comparable corpora Context vector Vector similarity computation

收稿日期: 2009-09-22 出版日期: 2009-10-25

ZTFLH:

TP391

基金资助:

*本文系“十一五”国家科技支撑计划重点项目“多语言信息服务环境关键技术研究”（项目编号：２００６ＢＡＨ０３Ｂ０２）、中国博士后科学基金特别资助项目“多语领域本体学习研究”（项目编号：２００８０１１０５）和中国博士后科学基金面上资助项目“多语领域本体学习关键技术研究”（项目编号：２００８０４３０４６３）的研究成果之一。

通讯作者: 康小丽 E-mail: kangli0810@163.com

作者简介: 康小丽,章成志,王惠临

引用本文:

康小丽,章成志,王惠临. 基于可比语料库的双语术语抽取研究述评*[J]. 现代图书情报技术, 2009, (10): 7-13.
Kang Xiaoli,Zhang Chengzhi,Wang Huilin. Survey on Bilingual Terminology Extraction from Comparable Corpora. New Technology of Library and Information Service, 2009, (10): 7-13.

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http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2009.10.02 或 http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2009/V/I10/7

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[1]	康小丽, 章成志. 用于双语术语抽取的专业领域中英文可比语料库构建[J]. 现代图书情报技术, 2012, 28(2): 28-33.
[2]	郭少友. 基于词语上下文关系的文本自动分类方法研究[J]. 现代图书情报技术, 2008, 24(5): 44-49.

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