On learning the past tenses of english verbs
Parallel distributed processing
Proceedings of the 1992 ACM/IEEE conference on Supercomputing
Statistical Language Learning
A Distributed Approach for a Robust and Evolving NLP System
NLP '00 Proceedings of the Second International Conference on Natural Language Processing
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
Statistical phrase-based translation
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Early lexical development in a self-organizing neural network
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Hi-index | 12.05 |
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.