Musa Alkhalifa


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Arabic WordNet: Semi-automatic Extensions using Bayesian Inference
Horacio Rodríguez | David Farwell | Javi Ferreres | Manuel Bertran | Musa Alkhalifa | M. Antonia Martí
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

This presentation focuses on the semi-automatic extension of Arabic WordNet (AWN) using lexical and morphological rules and applying Bayesian inference. We briefly report on the current status of AWN and propose a way of extending its coverage by taking advantage of a limited set of highly productive Arabic morphological rules for deriving a range of semantically related word forms from verb entries. The application of this set of rules, combined with the use of bilingual Arabic-English resources and Princeton’s WordNet, allows the generation of a graph representing the semantic neighbourhood of the original word. In previous work, a set of associations between the hypothesized Arabic words and English synsets was proposed on the basis of this graph. Here, a novel approach to extending AWN is presented whereby a Bayesian Network is automatically built from the graph and then the net is used as an inferencing mechanism for scoring the set of candidate associations. Both on its own and in combination with the previous technique, this new approach has led to improved results.


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SemEval-2007 Task 18: Arabic Semantic Labeling
Mona Diab | Musa Alkhalifa | Sabry ElKateb | Christiane Fellbaum | Aous Mansouri | Martha Palmer
Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007)


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Building a WordNet for Arabic
Sabri Elkateb | William Black | Horacio Rodríguez | Musa Alkhalifa | Piek Vossen | Adam Pease | Christiane Fellbaum
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

This paper introduces a recently initiated project that focuses on building a lexical resource for Modern Standard Arabic based on the widely used Princeton WordNet for English (Fellbaum, 1998). Our aim is to develop a linguistic resource with a deep formal semantic foundation in order to capture the richness of Arabic as described in Elkateb (2005). Arabic WordNet is being constructed following methods developed for EuroWordNet (Vossen, 1998). In addition to the standard wordnet representation of senses, word meanings are also being defined with a machine understandable semantics in first order logic. The basis for this semantics is the Suggested Upper Merged Ontology and its associated domain ontologies (Niles and Pease, 2001). We will greatly extend the ontology and its set of mappings to provide formal terms and definitions for each synset. Tools to be developed as part of this effort include a lexicographer's interface modeled on that used for EuroWordNet, with added facilities for Arabic script, following Black and Elkateb's earlier work (2004).