Towards a Bio-computational Model of Natural Language Learning

被引：0
|
作者：
Becerra-Bonache, Leonor [1 ]
机构：
[1] Univ St Etienne, UMR CNRS 5516, Lab Hubert Curien, F-42000 St Etienne, France
来源：
ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2011, PT I | 2011年 / 6691卷
关键词：
QUERIES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper tries to bring together the theory of Grammatical Inference and the studies of natural language acquisition. We discuss how the studies of natural language acquisition can improve results in the field of Grammatical Inference, and how a computational model inspired by such studies can help to answer several key questions in natural language learning.
引用
收藏
页码：473 / 480
页数：8
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