quranic arabic corpus data mining & text analytics by ismail teladia & abdullah alazwari
TRANSCRIPT
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Quranic Arabic CorpusData Mining & Text Analytics
By Ismail Teladia & Abdullah Alazwari
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Introduction What is the Quran?
Holy book for Muslims Revealed from 610 AD 6,236 verses, 114 chapters
Corpus Definition. Written or spoken language
What is the Quranic Arabic Corpus? 77,430 words of Quranic Arabic Researcher: Kais Dukes
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Features of QAC: Morphological Annotation
Syntactic Treebank
Semantic Ontology
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Morphological Annotation Word By Word
Grammar Syntax Morphology
Part-of-speech tagging Natural Language
Computing Technology
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Details of Word’s Grammar Clicking the word gives more detail:
Type of WordTranslationGenderCaseRoot
In addition it shows the verse in which word appears and sound recitation of the verse.
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Syntactic Treebank Verse by verse dependency graphs
Meaning of verse (broken down) Sentence structure (dependencies) Case
Mathematical graph theory
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Ontology of Concepts Knowledge representation Relationship between concepts Historic places and people Named entity tagging E.g. Sun, Moon, Star, Earth classified
under “Astronomical Body” Uses predicate logic
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Visual Representation of Ontology 300 linked concepts with 350 relations
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Conclusion Uses of the QAC:
Analysing Arabic text of each verse Linking Arabic words through
dependencies Finding relationships between concepts
Website used daily by 2,500 people from 165 countries
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Map Showing Usage of QAC
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Thank you for listening!