Three Phase Synthesizing Of Nlp and Text Classification for Query Generation
Amisha Shingala · International Journal for Research in Applied Science and Engineering Technology · 2017
With the great upsurge of usage of Whatsapp, Facebook, Twitter, etc. as well as firing queries to Google for every answer that a person requires, the trend of using Natural languages other than English using English alphabets has become very common.For example instead of writing 'Kem Chho' in Gujarati script we find it easy to write using English alphabets.Our attempt in this work has been in trying to convert such Gujarati and Hindi scripts which are actually written using English alphabets to be converted to Structured Query Language (SQL).This has been done by designing initially corpus of these languages, and with every new natural language query that is fired, trying to classify it using the pre-defined classifiers and using a heuristic approach increasing the scope and size of the corpus.In this a person who is comfortable in his native language can get information from our database which right now has been developed for Gujarati and Hindi language.