Advances in Amazigh Language Technologies: A Comprehensive Survey Across Processing Domains
The Amazigh language, spoken by millions across North Africa, presents unique computational challenges due to its complex morphological system, dialectal variation, and multiple writing systems. This survey examines technological advances over the past decade across four key domains: natural languag...
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MDPI AG
2025-07-01
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| Online Access: | https://www.mdpi.com/2078-2489/16/7/600 |
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| author | Oussama Akallouch Mohammed Akallouch Khalid Fardousse |
| author_facet | Oussama Akallouch Mohammed Akallouch Khalid Fardousse |
| author_sort | Oussama Akallouch |
| collection | DOAJ |
| description | The Amazigh language, spoken by millions across North Africa, presents unique computational challenges due to its complex morphological system, dialectal variation, and multiple writing systems. This survey examines technological advances over the past decade across four key domains: natural language processing, speech recognition, optical character recognition, and machine translation. We analyze the evolution from rule-based systems to advanced neural models, demonstrating how researchers have addressed resource constraints through innovative approaches that blend linguistic knowledge with machine learning. Our analysis reveals uneven progress across domains, with optical character recognition reaching high maturity levels while machine translation remains constrained by limited parallel data. Beyond technical metrics, we explore applications in education, cultural preservation, and digital accessibility, showing how these technologies enable Amazigh speakers to participate in the digital age. This work illustrates that advancing language technology for marginalized languages requires fundamentally different approaches that respect linguistic diversity while ensuring digital equity. |
| format | Article |
| id | doaj-art-7ea8bd22faee432ea77f3b10db8ca900 |
| institution | Kabale University |
| issn | 2078-2489 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj-art-7ea8bd22faee432ea77f3b10db8ca9002025-08-20T03:58:31ZengMDPI AGInformation2078-24892025-07-0116760010.3390/info16070600Advances in Amazigh Language Technologies: A Comprehensive Survey Across Processing DomainsOussama Akallouch0Mohammed Akallouch1Khalid Fardousse2Faculty of Sciences Dhar EL Mahraz, Sidi Mohamed Ben Abdellah University, Fez 30050, MoroccoCollege of Computing, Mohammed VI Polytechnic University, Ben Guerir 43150, MoroccoFaculty of Sciences Dhar EL Mahraz, Sidi Mohamed Ben Abdellah University, Fez 30050, MoroccoThe Amazigh language, spoken by millions across North Africa, presents unique computational challenges due to its complex morphological system, dialectal variation, and multiple writing systems. This survey examines technological advances over the past decade across four key domains: natural language processing, speech recognition, optical character recognition, and machine translation. We analyze the evolution from rule-based systems to advanced neural models, demonstrating how researchers have addressed resource constraints through innovative approaches that blend linguistic knowledge with machine learning. Our analysis reveals uneven progress across domains, with optical character recognition reaching high maturity levels while machine translation remains constrained by limited parallel data. Beyond technical metrics, we explore applications in education, cultural preservation, and digital accessibility, showing how these technologies enable Amazigh speakers to participate in the digital age. This work illustrates that advancing language technology for marginalized languages requires fundamentally different approaches that respect linguistic diversity while ensuring digital equity.https://www.mdpi.com/2078-2489/16/7/600Amazigh language processingcomputational linguisticslow-resource language technologiesTifinagh OCRspeech recognitionNatural Language Processing |
| spellingShingle | Oussama Akallouch Mohammed Akallouch Khalid Fardousse Advances in Amazigh Language Technologies: A Comprehensive Survey Across Processing Domains Information Amazigh language processing computational linguistics low-resource language technologies Tifinagh OCR speech recognition Natural Language Processing |
| title | Advances in Amazigh Language Technologies: A Comprehensive Survey Across Processing Domains |
| title_full | Advances in Amazigh Language Technologies: A Comprehensive Survey Across Processing Domains |
| title_fullStr | Advances in Amazigh Language Technologies: A Comprehensive Survey Across Processing Domains |
| title_full_unstemmed | Advances in Amazigh Language Technologies: A Comprehensive Survey Across Processing Domains |
| title_short | Advances in Amazigh Language Technologies: A Comprehensive Survey Across Processing Domains |
| title_sort | advances in amazigh language technologies a comprehensive survey across processing domains |
| topic | Amazigh language processing computational linguistics low-resource language technologies Tifinagh OCR speech recognition Natural Language Processing |
| url | https://www.mdpi.com/2078-2489/16/7/600 |
| work_keys_str_mv | AT oussamaakallouch advancesinamazighlanguagetechnologiesacomprehensivesurveyacrossprocessingdomains AT mohammedakallouch advancesinamazighlanguagetechnologiesacomprehensivesurveyacrossprocessingdomains AT khalidfardousse advancesinamazighlanguagetechnologiesacomprehensivesurveyacrossprocessingdomains |