LREC 2000 - Papers

LREC 2000 2^nd International Conference on Language Resources & Evaluation

Conference Papers

Papers by paper title: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Papers by ID number: 1-50, 51-100, 101-150, 151-200, 201-250, 251-300, 301-350, 351-377.

List of all papers and abstracts.

Previous Paper Next Paper

Title The Multi-layer Language Knowledge Base of Chinese NLP

Authors Junfeng Hu (The Institute of Computational Linguistics, Dept. of Computer Science and Technology, Peking University, Beijing, 100871, P.R. China, hujf@pku.edu.cn)
Shiwen Yu (The Institute of Computational Linguistics, Dept. of Computer Science and Technology, Peking University, Beijing, 100871, P.R. China, yusw@pku.edu.cn)

Keywords Grammatical Dictionary, Language Knowledge, Large-Scale Corpus, Word Formation Rules, Word Segmentation

Session Session WP1 - Lexicon

Abstract This paper introduced the effort to build a multi-layer knowledge base of Chinese NLP which combined with list-based, rule-based and corpus-based language information. Different kinds of information are designed to solve different kind of problems that encountered in the Chinese NLP. The whole knowledge base is designed with theoretical consistency and can easily be put into practice in the application systems.

rdana">

Title	The Multi-layer Language Knowledge Base of Chinese NLP
Authors	Junfeng Hu (The Institute of Computational Linguistics, Dept. of Computer Science and Technology, Peking University, Beijing, 100871, P.R. China, hujf@pku.edu.cn) Shiwen Yu (The Institute of Computational Linguistics, Dept. of Computer Science and Technology, Peking University, Beijing, 100871, P.R. China, yusw@pku.edu.cn)
Keywords	Grammatical Dictionary, Language Knowledge, Large-Scale Corpus, Word Formation Rules, Word Segmentation
Session	Session WP1 - Lexicon
Abstract	This paper introduced the effort to build a multi-layer knowledge base of Chinese NLP which combined with list-based, rule-based and corpus-based language information. Different kinds of information are designed to solve different kind of problems that encountered in the Chinese NLP. The whole knowledge base is designed with theoretical consistency and can easily be put into practice in the application systems.