Self-organizing map for Arabic language understanding

Abstract EN

-In recent years, there has been a resurgence in research on neural netwoks in natural language processing.

These research employ learning techniques to automatically extract linguistic knowledge from natural language rather then require the system developer to manually encode the requisite knowledge.It is known that the biological brain contains various topographically ordered 'maps', such that different neural cells respond optimally to different signal qualities.In this paper, self-organizing map are used for linguistic representation.

The performance of the system is shown for small arabic vocabulary.

It constructs an optimal topographical mapping of the words in the arabic sentences which gives high accuracy in language understanding.