Abstract
This paper presents an approach to automate the generation of Structure Query Language from Natural Language Text. Software requirements specifications are most important part of Natural Language Processing, as little mistake in this phase results in absurd software design. Software Specifications are used in software industry. When we automatic translate these Natural Language Text into Structured Query Text we find Many issues because Software Specification is not an independent sentence they have many module related to each other. so when we translate these English text we have found many issues such as discourse, semantic and negation problem. The evaluation method for Natural Language texts is to test against a list of sentences, each of which is paired with yes or no. For this case I have study Natural Language text and their problems in my MS thesis. What Natural Language Texts are and what issues are found when we automatic translate these Texts into SQL. We used Stanford dependency parser for text translation.
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