Computer-assisted i‘raab of Arabic sentences for teaching grammar to students
The end-case analysis of Arabic sentences is one of the keys to their meaning. This process is called i‘raab, a daunting task for the students. The outcome of the analysis is twofold: (a) placing a proper diacritical marking on the end-cases of individual words, and (b) providing a logical justifica...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157822002944 |
| _version_ | 1811177664749240320 |
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| author | Zarah M. Mannaa Aqil M. Azmi Hatim A. Aboalsamh |
| author_facet | Zarah M. Mannaa Aqil M. Azmi Hatim A. Aboalsamh |
| author_sort | Zarah M. Mannaa |
| collection | DOAJ |
| description | The end-case analysis of Arabic sentences is one of the keys to their meaning. This process is called i‘raab, a daunting task for the students. The outcome of the analysis is twofold: (a) placing a proper diacritical marking on the end-cases of individual words, and (b) providing a logical justification. Our objective is to generate a full i‘raabof the sentences, which could be incorporated in a computer-assisted Arabic grammar learning environment, teaching and helping the students with the i‘raabprocess. Our system comprises four components that work together to generate a proper i‘raabfor the sentence. We devise an enhanced context-free grammar (eCFG) that covers all the cases and rules taught in Saudi schools’ grammar textbooks (grades 7–12). Moreover, our eCFGgrammar eliminates the need for specialized grammars, e.g., head-driven phrase structure grammar and link grammar, to resolve complex cases involving dependencies. Furthermore, we utilize ontology to determine the correct semantics. The system was tested on 300 sentences varying in complexity from the Arabic grammar textbooks used in the schools. Our system achieved an overall accuracy of 88.33%. |
| first_indexed | 2024-04-11T06:06:04Z |
| format | Article |
| id | doaj.art-1d394f60abb540bf80f7b3a7a0ffc80d |
| institution | Directory Open Access Journal |
| issn | 1319-1578 |
| language | English |
| last_indexed | 2024-04-11T06:06:04Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj.art-1d394f60abb540bf80f7b3a7a0ffc80d2022-12-22T04:41:30ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782022-11-01341089098926Computer-assisted i‘raab of Arabic sentences for teaching grammar to studentsZarah M. Mannaa0Aqil M. Azmi1Hatim A. Aboalsamh2Department of Computer Science, College of Computer & Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaCorresponding author.; Department of Computer Science, College of Computer & Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaDepartment of Computer Science, College of Computer & Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaThe end-case analysis of Arabic sentences is one of the keys to their meaning. This process is called i‘raab, a daunting task for the students. The outcome of the analysis is twofold: (a) placing a proper diacritical marking on the end-cases of individual words, and (b) providing a logical justification. Our objective is to generate a full i‘raabof the sentences, which could be incorporated in a computer-assisted Arabic grammar learning environment, teaching and helping the students with the i‘raabprocess. Our system comprises four components that work together to generate a proper i‘raabfor the sentence. We devise an enhanced context-free grammar (eCFG) that covers all the cases and rules taught in Saudi schools’ grammar textbooks (grades 7–12). Moreover, our eCFGgrammar eliminates the need for specialized grammars, e.g., head-driven phrase structure grammar and link grammar, to resolve complex cases involving dependencies. Furthermore, we utilize ontology to determine the correct semantics. The system was tested on 300 sentences varying in complexity from the Arabic grammar textbooks used in the schools. Our system achieved an overall accuracy of 88.33%.http://www.sciencedirect.com/science/article/pii/S1319157822002944Arabic syntactic parsingGrammatical analysisContext-free grammarHead-driven phrase structure grammarLink-grammarComputer-assisted learning |
| spellingShingle | Zarah M. Mannaa Aqil M. Azmi Hatim A. Aboalsamh Computer-assisted i‘raab of Arabic sentences for teaching grammar to students Journal of King Saud University: Computer and Information Sciences Arabic syntactic parsing Grammatical analysis Context-free grammar Head-driven phrase structure grammar Link-grammar Computer-assisted learning |
| title | Computer-assisted i‘raab of Arabic sentences for teaching grammar to students |
| title_full | Computer-assisted i‘raab of Arabic sentences for teaching grammar to students |
| title_fullStr | Computer-assisted i‘raab of Arabic sentences for teaching grammar to students |
| title_full_unstemmed | Computer-assisted i‘raab of Arabic sentences for teaching grammar to students |
| title_short | Computer-assisted i‘raab of Arabic sentences for teaching grammar to students |
| title_sort | computer assisted i raab of arabic sentences for teaching grammar to students |
| topic | Arabic syntactic parsing Grammatical analysis Context-free grammar Head-driven phrase structure grammar Link-grammar Computer-assisted learning |
| url | http://www.sciencedirect.com/science/article/pii/S1319157822002944 |
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