Software Feasibility Study to Transform Complex Scientific Written Knowledge to a Clear, Rationale and Simple Language

Abstract

Ali Akbar Dehkhoda, the prominent lexicographer, describes a person who has difficulty in grasping knowledge as someone who “Cannot understand something without knowing all its details.” If the knowledge required by somebody is in a language other than the person’s mother tongue, access to this knowledge will surely meet special difficulties resulting from the person’s lack of mastery over the second language. Any project that can monitor knowledge sources written in English and change them into the user’s language by employing a simple understandable model is capable of being a knowledge-based project with a world view regarding text simplification. This article creates a knowledge system, investigates some algorithms for analyzing contents of complex texts, and presents solutions for changing such texts simple and understandable ones. Texts are automatically analyzed and their ambiguous points are identified by software, but it is the author or the human agent who makes decisions concerning omission of the ambiguities or correction of the texts.

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Cite this paper

@inproceedings{Khandelwal2015SoftwareFS, title={Software Feasibility Study to Transform Complex Scientific Written Knowledge to a Clear, Rationale and Simple Language}, author={Manoj Kumar Khandelwal and Mohammad Jafarabad}, year={2015} }