Corresponding Author: Mohammed M. Abu Shquier Department of Information Science, University of Tabuk, Tabuk, KSA Email: [email protected] Abstract: Arabic stemming is a technique to find the stem or lexical root for Arabic words through the process of eliminating affixes (preffixes, infixes and suffixes) attached to their roots. Several approaches have been implemented to generate the stem of A...

intertextuality is an approach which is considered in modern criticism. arabic contemporary literature has derived a collection of modern concepts from western literature called tanas in arabic language. the intertextuality is applied to study literary texts more deeply and to access to their unmentioned. the holy quran text has an integral link with poems of many poets ;for example, ibrahim to...

Kitchen et al. (2009) analyze a data set of lexical trait data for twenty five Semitic languages, including ancient languages Hebrew, Aramaic and Akkadian, modern South Arabian and Arabic languages and fifteen ethiosemitic languages. They estimate a phylogenetic tree for the diversification of lexical traits using tree and trait models and methods set up for genetic sequence data. We reanalyze ...

Automatic versus interactive analysis for the massive vowelization, tagging and lemmatization of Arabic Fathi Debili, Zied Ben Tahar, LLACAN, INALCO, CNRS, France and Emna Souissi, ESSTT, Tunisia How could we produce annotated texts massively with optimal efficiency, reproducibility and cost? Instead of correcting the output of the automatic analysis with dedicated tools, as suggested currently...

This paper describes the development of CICEROARABIC, the first wide coverage named entity recognition (NER) system for Modern Standard Arabic. Capable of classifying 18 different named entity classes with over 85% F, CICEROARABIC utilizes a new 800,000word annotated Arabic newswire corpus in order to achieve high performance without the need for hand-crafted rules or morphological information....

We present a dialectal Egyptian Arabic to English statistical machine translation system that leverages dialectal to Modern Standard Arabic (MSA) adaptation. In contrast to previous work, we first narrow down the gap between Egyptian and MSA by applying an automatic characterlevel transformational model that changes Egyptian to EG′, which looks similar to MSA. The transformations include morpho...

This study deals with the co-variation of speech clarity and coarticulatory patterns. Two experiments were conducted to investigate the influence of two parameters on coarticulation, the speech style (formal vs. non formal) and the prosodic position (stressed vs. unstressed syllable). The speech material was composed of four word lists varying CV syllable contexts with pharyngealized /   ...

While Modern Standard Arabic is the formal spoken and written language of the Arab world, dialects are the major communication mode for everyday life; identifying a speaker’s dialect is thus critical to speech processing tasks such as automatic speech recognition, as well as speaker identification. We examine the role of prosodic features (intonation and rhythm) across four Arabic dialects: Gul...

This paper proposes a set of rules for the automatic generation of F0 contours for modern standard Arabic (MSA) affirmative and interrogative sentences. The objective is to finalize a model for the automatic processing of the intonative pattern in different TTS systems (e.g. synthesis by formants using Klatt synthesizer and synthesis by diphones, using a synthesizer based on PSOLA algorithm). T...

This paper presents an English-Iraqi Arabic speech-to-speech statistical machine translation system using limited resources. In it, we explore the constraints involved, how we endeavored to mitigate such problems as a non-standard orthography and a highly inflected grammar, and discuss leveraging existing plentiful resources for Modern Standard Arabic to assist in this task. These combined tech...