A SOMAgent for machine translation

被引：1
|
作者：
Lopez, Vivian F. [1 ]
Alonso, Luis [1 ]
Moreno, Maria N. [1 ]
机构：
[1] Univ Salamanca, Dept Informat & Automat, E-37008 Salamanca, Spain
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2010年 / 37卷 / 12期
关键词：
Agent; Natural language processing; Semantic; Syntactic; Automatic translator; Kohonen maps;
D O I：
10.1016/j.eswa.2010.05.092
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This work describes a method that uses artificial neural networks, specially a self-organising map (SOM), to determine the correct meaning of a word. By using a distributed architecture, we take advantages of the parallelism in the different levels of the natural language processing system, for modeling a community of conceptually autonomous agents. Every agent has an individual representation of the environment, and they are related through the coordinating effect of communication between agents with partial autonomy. The aim of our linguistic agents is to participate in a society of entities with different skills, and to collaborate in the interpretation of natural language sentences in a prototype of an automatic German-Spanish translator. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：7993 / 7996
页数：4
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