A new language model for Arabic language for large vocabulary automatic speech recognition (ASR) is introduced. The derivative future of the Arabic word is quite useful in dividing the process into two phases. In phase-1 the fixed words, the prefix, the suffix and the form of the derivative words are determined through phase-1M-gram, of course, given the acoustical data. In phase 2 another M-gr...

This paper introduces SSML for using with Arabic language. SSML is part of a larger set of markup specifications for voice browsers developed through the open processes of the W3C. The essential role of the markup language is to give authors of synthesizable content a standard way to control aspects of speech output such as pronunciation, volume, pitch, rate, etc. across different synthesis-cap...

Language resources are important factor in any NLP application. However, the language resource support for Arabic is poor because the existing Arabic language resources are either scattered, inconsistent or even incomplete. In this paper we discuss the notion of having an integrated Arabic resource leveraging various pre-existing ones. We present a comparison between these resources then we pre...

Automatic Text Summarization has received a great deal of attention in the past couple of decades. It has gained a lot of interest especially with the proliferation of the Internet and the new technologies. Arabic as a language still lacks research in the field of Information Retrieval. In this paper, we explore lexical cohesion using lexical chains for an extractive summarization system for Ar...

Applications of statistical Arabic NLP in general, and text mining in specific, along with the tools underneath perform much better as the statistical processing operates on deeper language factorization(s) than on raw text. Lexical semantic factorization is very important in that aspect due to its feasibility, high level of abstraction, and the language independence of its output. In the core ...

â  examining the effects of teaching contemporary arabic literature through communicative approach â  â  â  maryam jalaei * â  narges ganji ** â  sardar aslani *** â  â  â  â  â  in order to make use of modern methods of teaching in the field of teaching arabic to non- native arab speakers, this study employed communicative approach for the teaching of contemporary arabic literature. thus, this...

1. INTRODUCTION The character recognition of the Roman type of languages especially English has come near to perfection and it is also considered as one of the successful application in the field of computer vision. The work on Arabic script and other scripts is being continued on; but the languages adopting Arabic script is very little while the work on Sindhi language is near to its origin. T...

The development of an efficient compression scheme to process the Arabic language represents a difficult task. This paper employs the dynamic Huffman coding on data compression with variable length bit coding, on the Arabic language. Experimental tests have been performed on both Arabic and English text. A comparison is made to measure the efficiency of compressing data results on both Arabic a...

“Borrowing” is a lingual process that is studied in diachronic linguistics. In this process a language borrows elements from another language. This process usually occurs in areas that two languages make contact with each other. In a dialect spoken in South Khorasan the language borrowing happens. Arabs living in this part of Iran probably have immigrated in the early centuries of Islam. In thi...

Stemming is the process of reducing words to their stems or roots. Due to the morphological richness and complexity of the Arabic language, stemming is an essential part of most Natural Language Processing (NLP) tasks for this language. In this paper, we study the impact of different stemming approaches on the Named Entity Recognition (NER) task for Arabic and explore the merits, limitations an...