NETWORKS OF EVOLUTIONARY PROCESSORS AS NATURAL LANGUAGE PARSERS

被引：0
|
作者：
Bel-Enguix, Gemma [1 ]
Dolores Jimenez-Lopez, M. [1 ]
Merca, Robert [1 ]
Perekrestenko, Alexander [1 ]
机构：
[1] Univ Rovira & Virgili, GRLMC, Pl Imperial Tarragona 1, Tarragona, Spain
来源：
ICAART 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE | 2009年
关键词：
Networks of Evolutionary Processors; Natural Language Processing; Parsing; HYBRID NETWORKS; SIZE;
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：
Networks of Evolutionary Processors (NEPs) introduced in Castellanos et al. (2001) are a new computing mechanism directly inspired from the behaviour of cell populations. In the paper, we explore the possibility of using Networks of Evolutionary Processors (NEPs) for modelling natural language an entity generated in parallel by a modular architecture and specially syntax a modular device of specialized processors inside the modular construct of language. An implementation of NEPs for parsing of simple structures is suggested. Moreover, we introduce the concepts of parallel processing and linearity in the formalization of NEPs as accepting devices, and suggest: a new line of research by applying these networks to natural language.
引用
收藏
页码：619 / +
页数：3
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