Assessment Criteria for Benchmarking Arabic Morphological Analyzers and Generators

Natural language processing applications are based on the morphology part. So they should meet some criteria in order to satisfy the required functionality. Assessing and evaluating of Arabic morphological systems depend on the input words and resulted output according to a predefined criteria to measure and analyze given system in order to study its weakness and strength, trying to find an Arabic morphological analyzer free from all mistakes. In this paper we developed the precise assessment criteria for Arabic morphological analyzers to be applied on a given Arabic morphological analyzers and stemming algorithms by voting, after running them on the sample documents selected as the gold standard.