In this paper, we present Farasa, a fast and accurate Arabic segmenter. Our approach is based on SVM-rank using linear kernels. We measure the performance of the segmenter in terms of accuracy and efficiency, in two NLP tasks, namely Machine Translation (MT) and Information Retrieval (IR). Farasa outperforms or is at par with the stateof-the-art Arabic segmenters (Stanford and MADAMIRA), while ...

Kelâmın muktezâ-i hâle uygun olması ve zikredilen lafızlar ile mananın birbirine denk sözün beliğ olmasının bir gereğidir. Söz bazen muhatabın anlamasını kolaylaştırmak de sözü zihne iyice yerleştirmek gibi sebeplerle uzatılabilmekte birçok lafızla daha az anlam ifade edilebilmektedir. Bazen durumu göz önünde bulundurularak etkili konuşma yapmak, muhatabı düşünmeye araştırmaya sevketmek gayeler...

The Universal Networking Language (UNL) is an artificial language that can replicate human language functions in cyberspace in terms of hyper semantic networks. This paper aims to: a) design a reference grammar capable of dealing with the basic linguistic structures in order to act as a test-bed in automating translation between English and Arabic in both directions through UNL; b) evaluate the...

Name identification has been worked on quite intensively for the past few years, and has been incorporated into several products revolving around natural language processing tasks. Many researchers have attacked the name identification problem in a variety of languages, but only a few limited research efforts have focused on named entity recognition for Arabic script. This is due to the lack of...

Corresponding Author: Suhad A. Yousif Department of Mathematics and Computer Science, Faculty of Science, Beirut Arab University, Lebanon Email: [email protected] Abstract: Arabic text classification methods have emerged as a natural result of the existence of a massive amount of varied textual information (written in Arabic language) on the web. In most text classification processes, featu...