A Lexicon for Hadith Science Based on a Corpus

Abstract — The Lexicon is among the most important resources for written language processing and comprehension. In languages with rich morphology like classical Arabic language (The language of the Qur'an and classical literature), a careful design of the lexicon is crucial. This paper describes the building of a lexicon of Hadith science using the HPSG formalism. This formalism has seen for several years a great development in the field of NLP, especially in lexical and syntax analysis. One of the distinctive design features of HPSG is its integrated information. Information about phonology, morphology, syntax, semantics and all other components of the grammar is represented in a single structure named attribute value matrix (AVM), with the possibility of complex interactions. In order to ensure interoperability, reusability and the ease of exchange and transfer, we used the XML technology. Each part of hadith isnad like narrator, Telling tool, etc. is represented in a separate XML document with HPSG lexical features specifically targeted at morphological analysis. But it also specifies morphological, syntactic and semantics features (such as gender or number), which can later be used by parsers and other applications