National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011 |
Foundation of Computer Science USA |
RTMC - Number 3 |
May 2012 |
Authors: Preeti Aggarwal, Udayan Ghose |
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Preeti Aggarwal, Udayan Ghose . Word Recognition using Hopfield Network. National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011. RTMC, 3 (May 2012), 31-35.
It is an undisputed fact that language is the most effective human tool to structure experience and to model environment. It is therefore necessary to model linguistic terms. A natural language (or ordinary language) is a language that is spoken, written, or signed by humans for general-purpose communication, as distinguished from formal languages (such as computer-programming languages or the "languages" used in the study of formal logic). Here, English language words are considered which can be classified as noun, verb, adjective, adverb, etc. A word can behave as a noun as well as a verb depending on the sentence. Similarly multiple behaviors are possible for many words with no variation or slight variation in spelling. Hopfield Associative memory can be used to store patterns and then a search can be done to find a correct pattern i. e. , word from memory that matches best with the input key, for example, a misspelled word. A part of speech tag (like a word can be a noun or a verb) can also be associated with each word in the binary form and hence a word can be searched as a noun or as a verb.