The importance of requirements, which in practice often means natural language requirements, for a successful software project cannot be underestimated. Although requirement analysis has been traditionally reserved to the experience of professionals, there is no reason not to use various automatic techniques to the same end. In this paper we present Circe, a Web-based environment for aiding in ...

The objective of this project is a pilot study of several new 3. ideas for the automatic adaptation and improvement of natural language processing (NLP) systems. The effort focuses particularly on automatically inferring the meaning of new words in context and on developing partial interpretations of language that is either fragmentary or beyond the capability of the NLP system to understand. T...

Arabic is recognised as the 4th most used language of Internet. has three main varieties: (1) classical (CA), (2) Modern Standard (MSA), (3) Dialect (AD). MSA and AD could be written either in or Roman script (Arabizi), which corresponds to with Latin letters, numerals punctuation. Due complexity this number corresponding challenges for NLP, many surveys have been conducted, order synthesise wo...

Modern machine-learning applications require huge artificial networks demanding computational power and memory. Light-based platforms promise ultrafast energy-efficient hardware, which may help realize next-generation data processing devices. However, current photonic are limited by the number of input-output nodes that can be processed in a single shot. This restricted network capacity prevent...

The expanding volume of data/Information creates a new challenge for Information Extraction techniques. amount unstructured data has increased in recent years. When we use this clean and better way, can extract wide variety beneficial outcomes. Reduction text to its essential content, is very complex problem which, despite the progress area thus far, poses many challenges scientific community. ...