Introduction: combining formal theories and statistical data in natural language processing

被引：0
作者：
Jones, KIBS
Gazdar, GJM
Needham, RM
机构：
[1] Univ Cambridge, Comp Lab, Cambridge CB2 3QG, England
[2] Univ Sussex, Sch Cognit & Comp Sci, Brighton BN1 9QH, E Sussex, England
[3] Microsoft Res Ltd, Cambridge CB2 3NH, England
来源：
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES | 2000年 / 358卷 / 1769期
关键词：
formal theory; statistical data; natural language processing;
D O I：
暂无
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
The papers in this issue address, or illustrate, the relation between symbolic and numeric approaches to text and speech processing. This is currently an exciting and productive area of research and development in natural language processing research. This introduction summarizes the background, lists important questions to be addressed, indicates how the papers relate to these, and draws out major lessons to be learnt from this state-of-the-art collection.
引用
收藏
页码：1227 / 1238
页数：12
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