Abstract:
At present, with fast moving software industry, delivering software products in quick succession
is very challenging due to various aspects. Some of the main challenges are the lack of experience
in programming language for developers, difficulty in understanding programming languages and
best practices. In this paper it expresses how to integrate natural English language to implement
software related products instead of any programming language. The proposed solution talks about
how to use Natural Language Processing (NLP) and Machine Learning algorithms to generate
programming language syntaxes over user’s needs. In implementing the proposed solution Natural
Language Processing principles like Chunking, Chinking, Part of Speech Tagging (POS Tagging),
Named Entity Recognition (NER) and Lemmatizing has been used. Apart from that Machine
Learning algorithms like Naïve Bayes (NB), Logistic Regression, Support Vector Machine (SVC)
has been used as classification algorithms to fine tune the output. The main focus on this project
in terms of the programming language is Structures Query Language (SQL). In another words, the
paper will be talking how to integrate both NLP and Machine Learning methodologies to build
SQL queries.
