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Automatic identification of rhetorical elements in classical arabic poetry
Heyam Abd Alhadi
,
Ali Ahmad Hussein
,
Tsvi Kuflik
Department of Information Systems
Department of Arabic Language and Literature
Research output
:
Contribution to journal
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Article
›
peer-review
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Computer Science
Natural Language Processing
100%
Machine Learning Algorithm
100%
Recognition System
100%
Manual Process
100%
rule based reasoning
100%
Rhetorical Feature
100%
Machine Learning
100%
Learning System
100%
Keyphrases
Arabic Poetry
100%
Automatic Identification
100%
Rhetorical Features
100%
Rule-based
50%
Annotated Corpus
50%
Machine Learning Algorithms
25%
Machine Learning Classifiers
25%
Classical Arabic
25%
Arabic Literature
25%
Automatic Framework
25%
F-measure
25%
Rule-based Reasoning
25%
Natural Language Processing Techniques
25%
Manual Processes
25%
Automatic Recognition System
25%
Rhetoricians
25%