This paper describes the process of creating a novel resource, a parallel Arabizi-Arabic script corpus of SMS/Chat data. The language used in social media expresses many differences from other written genres: its vocabulary is informal with intentional deviations from standard orthography such as repeated letters for emphasis; typos and nonstandard abbreviations are common; and nonlinguistic co...

undoubtedly the holy quran is a unique book in arabic language, eloquently and rhetorically. its words are a pure collection of arabic literature. all poets, jurisprudents and philosophers believe it as a master art. it is a permanent treasure of arabic and for it many sciences have been generated. it kept the arabic language active and dynamic during ups and downs of the history. it also conta...

Sign language is the basic means of communication among hearing-impaired people. Systems that could act as interpreters between vocal and hearing-impaired people would facilitate the life of deaf and integrate them in the society. Such systems should perform bidirectional translation of sign language and spoken language. A lot of efforts invested on translating sign languages to spoken language...

We report the results of our transliteration experiments with language-specific adaptations in the context of two language pairs: English to Chinese, and Arabic to English. In particular, we investigate a syllable-based Pinyin intermediate representation for Chinese, and a letter mapping for Arabic.

Arabic dialect classification has been an important and challenging problem for Arabic language processing, especially for social media text analysis and machine translation. In this paper we propose an approach to improving Arabic dialect classification with semi-supervised learning: multiple classifiers are trained with weakly supervised, strongly supervised, and unsupervised data. Their comb...

Arabic Grammar, Arabic Upper Model, Arabic Gemeration. Arabic has had wellestablished theoretical studies for more than 1000 years. However, If Arabic is compared with other languages, it has received much less modern computational interest. The aim of this research work is to try to make use of some of the Arabic linguistic theories and adapt them to be used in machine processing. To start wit...

Dialectal Arabic (DA) is significantly different from the Arabic language taught in schools and used in written communication and formal speech (broadcast news, religion, politics, etc.). There are many existing researches in the field of Arabic language Sentiment Analysis (SA); however, they are generally restricted to Modern Standard Arabic (MSA) or some dialects of economic or political inte...

Recently, Question Answering (QA) has been one of the main focus of natural language processing research. However, Arabic Question Answering is still not in the mainstream. The challenges of the Arabic language and the lack of resources have made it difficult to provide Arabic QA systems with high accuracy. While low accuracies may be accepted for general purpose systems, it is critical in some...

Corpora are considered as an important resource for natural language processing (NLP). Currently, the Dialectal Arabic corpora are somewhat limited, particularly in the case of the Tunisian Arabic. In recent years, since the events of the revolution, the increasing presence of spoken Tunisian Arabic in interviews, news and debate programs, the increasing use of language technologies for many sp...