Analytical database of Arabic poetry
- Submitting institution
University of St Andrews
- Unit of assessment
- 26 - Modern Languages and Linguistics
- Output identifier
- S - Research data sets and databases
- St Andrews
- Supplementary information
- Request cross-referral to
- 25 - Area Studies
- Output has been delayed by COVID-19
- COVID-19 affected output statement
- Forensic science
- Number of additional authors
- Research group(s)
- Proposed double-weighted
- Reserve for an output with double weighting
- Additional information
- The Analytical Database of Arabic Poetry (ERC Starting Grant 312458 AR–SEM, 2013–2019) provides a digital platform for research on the semantics of the Arabic language and the history of Arabic poetic tradition from late antiquity onwards.
The database includes:
(i) Text corpus
Fully searchable texts of Arabic poetry in TEI/XML are provided along with analytical data on authors, chronological periodisation, literary classification, geographical specification and semantic categorisation.
The historical dictionary with over fourteen thousand lemmas implements comprehensive analytical tools and provides detailed information on the historical development of the vocabulary used in Arabic poetry and its various genres. Since there is neither a historical dictionary of Arabic nor a complete dictionary of classical Arabic in any European language, the database creates a unique research tool on the semantics of Arabic.
Additional information tags and notes, a semantic register cross-linked with the Intercontinental Dictionary Series and detailed bibliographical information on sources used in the project provide research data, making the database useful not just as a literary and lexical source, but also as a reference work for wider research on Arabic literature, history and culture.
Using the database, a researcher can retrieve any word/lemma from various texts and analyse its specific semantic connotations from a historical, geographic and/or literary perspective. Moreover, poetic language, motifs, themes, symbols, images, metaphors, meters and rhymes can be identified and contextualised using detailed search filters. Thus, the database allows for systematic research on the development of genres, forms, conventions, structural elements and intertextual connections in Arabic poetry.
The database has been publicly accessible online since September 2019. It has been used and disseminated by colleagues at universities in the UK, USA, Germany, Israel, Lebanon, Qatar, Netherlands, Russia, Switzerland and UAE.
- Author contribution statement
- English abstract