Using SGML as a Basis for Data-Intensive Natural Language Processing

被引：0
|
作者：
D. McKelvie
C. Brew
H.S. Thompson
机构：
[1] University of Edinburgh,Language Technology Group, Human Communication Research Centre
来源：
Computers and the Humanities | 1997年 / 31卷
关键词：
corpus-based linguistics; natural language processing; SGML;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper describes the LT NSL system (McKelvie et al., 1996), an architecture for writing corpus processing tools. This system is then compared with two other systems which address similar issues, the GATE system (Cunningham et al., 1995) and the IMS Corpus Workbench (Christ, 1994). In particular we address the advantages and disadvantages of an SGML approach compared with a non-sgml database approach.
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收藏
页码：367 / 388
页数：21
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