Abstract
Recently, activity surrounding Arabic natural language processing has increased significantly. Morphological analysis is the basis of most tasks related to Arabic natural language processing. There are many scientific studies on Arabic morphological analysis, yet most of them lack an accurate classification of Arabic morphology and fail to cover both recent and traditional techniques. This paper aims to survey Arabic morphological analysis techniques from 2005 to 2019 and to organize them into a reasonable and expandable classification system. To facilitate and support new research, this paper compares the currently available Arabic morphological analyzers, reaches certain conclusions, and proposes some promising directions for future research in Arabic morphological analysis.
Highlights
Since the advent of the computing era, researchers have been trying to develop systems which can interact with humans; these systems play an essential role in facilitating human life by saving time and improving the quality of work
Morphological analyzers are one such system and constitute an important component of many applications dealing with natural language processing (NLP), machine translation, information search and retrieval, and more
We propose a classification of Arabic morphological analysis techniques and describe some of the shortcomings of earlier classifications
Summary
Since the advent of the computing era, researchers have been trying to develop systems which can interact with humans; these systems play an essential role in facilitating human life by saving time and improving the quality of work. Morphological analyzers are one such system and constitute an important component of many applications dealing with natural language processing (NLP), machine translation, information search and retrieval, and more. Morphology is a challenge in Arabic natural language processing (ANLP), and a somewhat complex task. This is because the most important characteristic of Semitic languages is their nonconcatenative nature. Arabic words are composed of roots, derived from certain patterns extracted from stems and their affixes. One root and a small number of patterns with several affixes can form many stems (word formations)
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