In this paper we investigate the possibility of creating a PoS tagger for Modern Standard Arabic by integrating open-source tools. In particular a morphological analyser, used in the disambiguation process with a PoS tagger trained on classical Arabic. The investigation shows the scarcity of open-source tools and resources, which complicated the integration process. Among the problems are diffe...

This paper addresses issues related to employing logic-based semantic composition as a meaning representation for Arabic within a unification-based syntax-semantics interface. Since semantic representation has to be compositional on the level of semantic processing λ-calculus based on Discourse Representation Theory can be utilized as a helpful and practical technique for the semantic construct...

Parsing Arabic sentences is a difficult task; the difficulties come from several sources. One is that sentences are long and complex, the other difficulties come from the sentence structure. The syntactic structure of sentence parts may be missing, taking different orders of words and phrases. The present work aims to develop an Arabic Parser. A new parser has been developed with the aim of ana...

As the number of Arabic corpora is constantly increasing, there is an obvious and growing need for concordancing software for corpus search and analysis that supports as many features as possible of the Arabic language, and provides users with a greater number of functions. This paper evaluates seven existing corpus search and analysis tools based on eight criteria which seem to be the most ess...

Though much research has been conducted on Subjectivity and Sentiment Analysis (SSA) during the last decade, little work has focused on Arabic. In this work, we focus on SSA for both Modern Standard Arabic (MSA) news articles and dialectal Arabic microblogs from Twitter. We showcase some of the challenges associated with SSA on microblogs. We adopted a random graph walk approach to extend the A...

Most research in Arabic roots extraction focuses on removing affixes from Arabic words. This process adds processing overhead and may remove non-affix letters, which leads to the extraction of incorrect roots. This paper advises a new approach to dealing with this issue by introducing a new algorithm for extracting Arabic words’ roots. The proposed algorithm, which is called the Word Substring ...

Abstract The Columbia Arabic Treebank (CATiB) is a database of syntactic analyses of Arabic sentences. CATiB contrasts with previous approaches to Arabic treebanking in its emphasis on faster production with some constraints on linguistic richness. Two basic ideas inspire the CATiB approach. First, CATiB avoids the annotation of redundant linguistic information that is determinable automaticall...

This contribution describes a font family designed to meet the requirements of typesetting mathematical documents in an Arabic presentation. Thus, not only is the text written in an Arabic alphabet-based script, but specific symbols are used and mathematical expressions also spread out from right to left. Actually, this font family consists of two components: an Arabic mathematical font and a d...

The aim of this paper is to describe a technique for identifying the sources of several types of syntactic ambiguity in Arabic Sentences with a single parse only. Normally, any sentence with two or more structural representations is said to be syntactically ambiguous. However, Arabic sentences with only one structural representation may be ambiguous. Our technique for identifying Syntactic Ambi...

This paper presents the work toward developing a new comprehensive database for Arabic off-line handwriting recognition. The database includes: isolated Indian digits, numerical strings, Arabic isolated letters, and a collection of 70 Arabic words. Also, the database includes a free format sample of an Arabic date. A data entry form was designed to collect written samples from Arabic native spe...