quranic arabic corpus data mining & text analytics by ismail teladia & abdullah alazwari

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Quranic Arabic Corpus Data Mining & Text Analytics By Ismail Teladia & Abdullah Alazwari

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Page 1: Quranic Arabic Corpus Data Mining & Text Analytics By Ismail Teladia & Abdullah Alazwari

Quranic Arabic CorpusData Mining & Text Analytics

By Ismail Teladia & Abdullah Alazwari

Page 2: Quranic Arabic Corpus Data Mining & Text Analytics By Ismail Teladia & Abdullah Alazwari

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

Page 3: Quranic Arabic Corpus Data Mining & Text Analytics By Ismail Teladia & Abdullah Alazwari

Features of QAC: Morphological Annotation

Syntactic Treebank

Semantic Ontology

Page 4: Quranic Arabic Corpus Data Mining & Text Analytics By Ismail Teladia & Abdullah Alazwari

Morphological Annotation Word By Word

Grammar Syntax Morphology

Part-of-speech tagging Natural Language

Computing Technology

Page 5: Quranic Arabic Corpus Data Mining & Text Analytics By Ismail Teladia & Abdullah Alazwari

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.

Page 6: Quranic Arabic Corpus Data Mining & Text Analytics By Ismail Teladia & Abdullah Alazwari

Syntactic Treebank Verse by verse dependency graphs

Meaning of verse (broken down) Sentence structure (dependencies) Case

Mathematical graph theory

Page 7: Quranic Arabic Corpus Data Mining & Text Analytics By Ismail Teladia & Abdullah Alazwari

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

Page 8: Quranic Arabic Corpus Data Mining & Text Analytics By Ismail Teladia & Abdullah Alazwari

Visual Representation of Ontology 300 linked concepts with 350 relations

Page 9: Quranic Arabic Corpus Data Mining & Text Analytics By Ismail Teladia & Abdullah Alazwari

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

Page 10: Quranic Arabic Corpus Data Mining & Text Analytics By Ismail Teladia & Abdullah Alazwari

Map Showing Usage of QAC

Page 11: Quranic Arabic Corpus Data Mining & Text Analytics By Ismail Teladia & Abdullah Alazwari

Bibliography http://corpus.quran.com

Page 12: Quranic Arabic Corpus Data Mining & Text Analytics By Ismail Teladia & Abdullah Alazwari

Thank you for listening!