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This paper tries to put various ways in which Natural Language Processing (NLP) and Software Engineering (SE) can be seen as inter-disciplinary research areas. We survey the current literature, with the aim of assessing use of Software Engineering and Natural Language Processing tools in the researches undertaken. An assessment of how various phases of SDLC can employ NLP techniques is presented. The paper also provides the justification of the use of text for automating or combining both these areas. A short research direction while undertaking multidisciplinary research is also provided.

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This paper endeavors to   develop newer medium of  developing research questions by keeping in view both fields of SE and NLP in proper perspectives. An overview of the current state of art research in SE and NLP is presented. This is done by referring to the SE Body of Knowledge (SEBOK). Analogues to SEBOK, there are no separate Body of Knowledge available for the NLP/Computational Linguistics (CL). Hence whatever falls within the category of NLP/CL was considered in framing the research categories from the NLP/CL side. The paper concludes with future scope of the research presented.

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Proposed system come with an idea of automatically generate presentation slides from textual data. The slides mostly incorporate of only the important points related to the topic. There are various tools and systems are available in the market which only address with formatting of the slides but not the content. But it having performance issues regarding of sentence extraction, so this paper proposes an idea of automatically ppt generation from text. This will finally help in reducing a great amount of the presenter's time and efforts. The intended system works on NLP rules to classify data for the desired slides.

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