FromTo-CLIR™:: web-based natural language interface for cross-language information retrieval

被引:8
|
作者
Kim, T [1 ]
Sim, CM
Yuh, S
Jung, H
Kim, YK
Choi, SK
Park, DI
Choi, KS
机构
[1] ETRI Comp & Software Technol Lab, Nat Language Proc Dept, Taejon, South Korea
[2] Korea Adv Inst Sci & Technol, Dept Comp Sci, Taejon 305701, South Korea
关键词
cross language information retrieval; query translation; semantic category tree; domain identification; !text type='HTML']HTML[!/text] tag management; hybrid machine translation; fail softening;
D O I
10.1016/S0306-4573(98)00057-0
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes the implementation of FromTo-CLIR, a Web-based natural language interface for cross-language information retrieval, which consists of four parts: query translator, meta-search engine, front-end and back-end processors, and a robust hybrid machine translator. We propose a method that uses a semantic category tree and collocation to resolve the ambiguity of query translation. We use the front-end and back-end processors in which domain identifier determines the domain of the retrieved documents, machine translators translate the retrieved documents and tag manager deals with the HTML tags to preserve the layout of the original web document. To obtain a robust translation within the Web environment, we use a hybrid translation engine that combines a pattern-based module with a rule-based translator and includes pre- and post-fail softeners. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:559 / 586
页数:28
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