Noun Formation in Standard English and Modern Standard Arabic: A Contrastive Study

Resumptive Pronoun Detection for Modern Standard Arabic to English MT

Many languages, including Modern Standard Arabic (MSA), insert resumptive pronouns in relative clauses, whereas many others, such as English, do not, using empty categories instead. This discrepancy is a source of difficulty when translating between these languages because there are words in one language that correspond to empty categories in the other, and these words must either be inserted o...

Building A Modern Standard Arabic Corpus

Language Engineering, including Information Retrieval, Machine Translation and other Natural Language-related disciplines, is showing in recent years more interest in the Arabic language. Suitable resources for Arabic are becoming a vital necessity for the progress of this research. Until recently, only two Arabic corpora were commonly available for researchers: the AFP Arabic newswire from LDC...

Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English Lexicon

We introduce an electronic three-way lexicon, Tharwa, comprising Dialectal Arabic, Modern Standard Arabic and English correspondents. The paper focuses on Egyptian Arabic as the first pilot dialect for the resource, with plans to expand to other dialects of Arabic in later phases of the project. We describe Tharwa’s creation process and report on its current status. The lexical entries are augm...

Homonymy in English and Arabic: A Contrastive Study

Dialectal Arabic to English Machine Translation: Pivoting through Modern Standard Arabic

Modern Standard Arabic (MSA) has a wealth of natural language processing (NLP) tools and resources. In comparison, resources for dialectal Arabic (DA), the unstandardized spoken varieties of Arabic, are still lacking. We present ELISSA, a machine translation (MT) system for DA to MSA. ELISSA employs a rule-based approach that relies on morphological analysis, transfer rules and dictionaries in ...