Arabic WordNet: Semi-automatic Extensions using Bayesian Inference

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...

• Type: Conference
• Year: 2008
• Where: LREC
• Authors: Horacio Rodríguez, David Farwell, Javi Ferreres, Manuel Bertrán, Musa Alkhalifa, M. Antonia Martí
• Keywords: Arabic Morphological Rules, Arabic WordNet, Education, LREC 2008, Morphological Rules