Arabic is a morphologically rich language, and Arabic texts abound of complex word forms built by concatenation of multiple subparts, corresponding for instance to prepositions, articles, roots prefixes, or suffixes. The development of Arabic Natural Language Processing applications, such as Machine Translation (MT) tools, thus requires some kind of morphological analysis. In this paper, we com...

In 1947, Egyptian novelist, short story writer and playwright Mahmud Taymur (1894-1973) was awarded the first prize in short story writing from Cairo Arabic Language Academy. Two years later, Taymur was made a member of the prestigious scholarly institution whose main mission was to promote and defend the use of classical Arabic in modern Arabic literature. In both the statement made by the jur...

The research focus in our paper is twofold: (a) to examine the extent to which simple Arabic sentence structures comply with the Government and Binding Theory (GB), and (b) to implement a simple Arabic Context Free Grammar (CFG) parser to analyze input sentence structures to improve some Arabic Natural Language Processing (ANLP) Applications. Here we present a parser that employs Chomsky’s Gove...

Part-of-Speech (POS) tagging is a key stepin many NLP algorithms. However, tweetsare difficult to POS tag because there aremany phenomena that frequently appear inTwitter that are not as common, or are en-tirely absent, in other domains: tweets areshort, are not always written maintainingformal grammar and proper spelling, andabbreviations are often used to overc...

This paper presents a hybrid approach to the enhancement of English to Arabic statistical machine translation quality. Machine Translation has been defined as the process that utilizes computer software to translate text from one natural language to another. Arabic, as a morphologically rich language, is a highly flexional language, in that the same root can lead to various forms according to i...

Creating good stemming rules for the Arabic language comes from the importance of Arabic language as the sixth most used language in the word. Stemming is very important in information retrieval, data mining and language processing. With Arabic having complex morphology and grammatical properties, this poses a challenge for researchers in this field. In this paper, we try to use an online morph...

Named Entity Recognition for Arabic : Unsupervised adaptation and Systems combination The recognition of Arabic Named Entities (NE) is a potentially useful preprocessing step for many Natural Language Processing Applications, such as Machine Translation. This task is however made very complex by some peculiarities of the Arabic language. In this paper, we present a summary of our recent efforts...

The high level of ambiguity of the Arabic script poses special challenges to developers of NLP tools in areas such as morphological analysis, named entity extraction and machine translation. These difficulties are exacerbated by the lack of comprehensive lexical resources, such as proper noun databases, and the multiplicity of ambiguous transcription schemes. This paper focuses on some of the l...

Baseline extraction is one of the most important phases for handwriting recognition. Due to the complexity of the Arabic scripts, baseline detection of Arabic handwritten text-lines is a difficult task compared to other languages. In this work, a method which combines some baseline extraction techniques used in literature was presented to provide a fine estimation of baseline in Arabic handwrit...