Knowledge Based System for Natural Language Understanding |
Author(s): |
| Rohit Barve , Vidyalankar institute of technology; Girish Nair, Vidyalankar institute of technology; Aniruddha Shinde, Vidyalankar institute of technology; Priyanka Kandar, Vidyalankar institute of technology |
Keywords: |
| Natural Language Understanding (NLU) |
Abstract |
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As of today, computers are unable to understand human languages like humans do. Based on the progression of Natural Language Processing today computers can understand pre-defined words or sentences which are already stored in their memory and perform actions mapped to them respectively. Just like a human being can learn by reading books, we will give a computer system the ability to understand English language, semantically, contextually and lexicographically by using semiotics. This will be done by providing a comprehensive knowledge base of English words, grammar semantics, sentence structuring, definitions and word association. This system will be presented in the form of a comprehension Q&A session similar to the pattern followed in school English examinations. |
Other Details |
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Paper ID: IJSRDV5I10728 Published in: Volume : 5, Issue : 1 Publication Date: 01/04/2017 Page(s): 1196-1197 |
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