PARAMETERS FOR SEMI-AUTOMATED VOCABULARY ENHANCEMENT SYSTEM

被引:0
|
作者
Sugandhi, Rekha S. [1 ]
Wadhai, Vijay [1 ]
机构
[1] MIT Coll Engn, Dept Comp Engn, Pune, Maharashtra, India
来源
2011 3RD INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT (ICCTD 2011), VOL 1 | 2012年
关键词
Natural Language Processing; Lexicon Generation; Machine Readable Dictionaries; Text Mining; Information Retrieval;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Machine Readable Dictionaries (MRDs) provide a convenient and efficient base for systems that process natural languages. The contents in MRDs are vast and semantically linked in many ways. As new words are introduced or if semantics of existing words are altered in natural languages it becomes necessary to update the MRDs as well, to facilitate the natural language processing systems working on them. An automated system for enhancement of MRDs is a tedious task keeping in mind the vast vocabulary and word base in natural languages. This paper addresses these issues and discusses the various parameters that can assist in automating the process of enhancing a given MRD for English language.
引用
收藏
页码:157 / 161
页数:5
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