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Title A SOMAgent for Machine Translation
Authors Vivian López Batista , Luis Alonso Romero , María N. Moreno García
Summary 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.
Magazine name Expert Systems with Applications
Magazine number 37
Initial page 7993
End page 7996
Year 2010
Volume 12
ISSN 0957-4174
Last impact factors 2.908 (2009)
DOI 10.1016/j.eswa.2010.05.092
Link http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V03-5070DFS-1D&_user=618604&_coverDate=12%2F31%2F2010&_alid=1556900909&_rdoc=1&_fmt=high&_orig=search&_origin=search&_zone=rslt_list_item&_cdi=5635&_sort=r&_st=13&_docanchor=&view=c&_ct=1&_acct=C0
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