Abstract
Arabic is a widely-spoken language with a long and rich history, but existing corpora and language technology focus mostly on modern Arabic and its varieties.Therefore, studying the history of the language has so far been mostly limited to manual analyses on a small scale. In this work, we present a large-scale historical corpus of the written Arabic language, spanning 1400 years. We describe our efforts to clean and process this corpus using Arabic NLP tools, including the identification of reused text.We study the history of the Arabic language using a novel automatic periodization algorithm, as well as other techniques.Our findings confirm the established division of written Arabic into Modern Standard and Classical Arabic, and confirm other established periodizations, while suggesting that written Arabic may be divisible into still further periods of development.
Original language | English |
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Pages (from-to) | 771-805 |
Number of pages | 35 |
Journal | Language Resources and Evaluation |
Volume | 53 |
Issue number | 4 |
DOIs | |
State | Published - 1 Dec 2019 |
Bibliographical note
Publisher Copyright:© 2019, Springer Nature B.V.
Funding
This research was partly supported by the HBKU Qatar Computing Research Institute (QCRI), as part of a collaboration with the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Y.B. was also supported by the Harvard Mind, Brain, Behavior Initiative. This research was also partly supported by the Israel Science Foundation (Grant No. 977/16), and by DICTA: The Israel Center For Text Analysis.
Funders | Funder number |
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CSAIL | |
DICTA | |
HBKU Qatar Computing Research Institute | |
Israel Center For Text Analysis | |
MIT Computer Science and Artificial Intelligence Laboratory | |
QCRI | |
Israel Science Foundation | 977/16 |
Keywords
- Arabic
- Corpus
- Historical linguistics
- Periodization
- Text reuse