| Description |
1 online resource (1 volume) |
| Physical Medium |
polychrome |
| Description |
text file |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
Introducing Arabic corpus linguistics / Tony McEnery, Andrew Hardie and Nagwa Younis -- Under the hood of arabiCorpus / Dilworth B. Parkinson -- Tunisian Arabic Corpus: creating a written corpus of an 'unwritten' language / Karen McNeil -- Accessible corpus annotation for Arabic / Wesam Ibrahim and Andrew Hardie -- The leeds Arabic discourse treebank: guidelines for annotating discourse connectives and relations / Amal Alsaif and Katja Markert -- Using the web to model modern and Qur'anic Arabic / Eric Atwell -- Semantic prosody as a tool for translating prepositions in the Holy Qur'an: a corpus-based analysis / Nagwa Younis -- A relational approach to modern literary Arabic conditional clauses / Manuel Sartori -- Quantitative approaches to analysing COME constructions in modern standard Arabic / Dana Abdulrahim -- Approaching text typology through cluster analysis in Arabic / Ghada Mohamed and Andrew Hardie -- Appendix: Arabic transliteration systems used in this book -- Index. |
| Summary |
This book demonstrates the advantage of a corpus based approach to Arabic, and presents an overview of current research on the Arabic language within corpus linguistics. Dealing not only with modern standard Arabic, the book also considers classical and colloquial forms. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Arabic language -- Grammar, Comparative.
|
|
Arabic language -- Grammar, Comparative. |
|
Arabic language. |
|
Corpora (Linguistics)
|
|
Corpora (Linguistics) |
| Genre/Form |
Electronic books.
|
| Added Author |
McEnery, Tony, 1964- editor.
|
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Hardie, Andrew, editor.
|
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Younis, Nagwa, editor.
|
| Other Form: |
Print version: 0748677372 9780748677375 (OCoLC)851153441 |
| ISBN |
9780748677382 (electronic book) |
|
0748677380 (electronic book) |
|
9780748677375 |
|
0748677372 |
|
