Abstract
Morphology analysis is an essential part of most applications of natural language processing (NLP) which included different applications like Machine Translation (MT) and language rule based Information Retrieval (IR). Many Arabic morphological systems had built for different purposes with different algorithms and approaches; this paper is considered a survey of Arabic Morphological system from researchers’ perspectives and approaches used to build them. Based on this survey; in the first part of this paper; the perspective of Arabic morphological systems had been classified into two major issues; one of them is the theoretical perspective and the second is the computational perspective of Arabic morphology. While the second part of this paper deals with approaches used to build the Arabic Morphology systems itself which are Table Lookup Approach, Combinatorial Approach, Linguistic Approach, Traditional Approaches, Finite-state Automata and Two-Level Morphology Approach and Pattern-Based Approach.
Highlights
Arabic is one of the languages having the characteristics that from one root the derivational and inflectional systems are able to produce a large number of words each having specific patterns and semantics
While keeping time efficiency almost the same, merging rules reduces the rule list dramatically. Based on this survey we can classify the perspective of Arabic morphological systems into two major issues; one of them is the theoretical perspective and the second is the computational perspective of Arabic morphology
The computational perspective considered the Knowledge-based Approaches which consider how the algorithm deals with the Arabic word; some of these systems consider the syllable structure of the word, derivational combination of a root morpheme and a vowel melody, stem is the only morphologically relevant form of a lexeme, word forms are analyzed as arrangements of morphemes, Word-and-paradigm approach
Summary
Arabic is one of the languages having the characteristics that from one root the derivational and inflectional systems are able to produce a large number of words (lexical forms) each having specific patterns and semantics. Morphology is a term for that branch of linguistics concerned with the forms words take in their different uses and construction. Morphology analysis is an essential part of most applications of natural language processing, NLP. If compatibility vectors for all roots are available, the general linguistic algorithm can be used. The authors state that the system covers the Arabic dictionary and can analyze vowelized and non-vowelized Arabic words They state that their implementation of pattern matching requires almost no time and lists do not require vast memory space. The second part deals with the different approaches used in some Arabic Morphologies
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