LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual

Mona Diab; Nizar Y. Habash; Owen Rambow; Ryan M. Roth

LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual
Diab, Mona
Habash, Nizar Y.
Rambow, Owen
Roth, Ryan M.
Technical reports
Center for Computational Learning Systems
Computer Science
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CCLS Technical Report
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Center for Computational Learning Systems, Columbia University
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New York
The Linguistic Data Consortium (LDC) has developed hundreds of data corpora for natural language processing (NLP) research. Among these are a number of annotated treebank corpora for Arabic. Typically, these corpora consist of a single collection of annotated documents. NLP research, however, usually requires multiple data sets for the purposes of training models, developing techniques, and final evaluation. Therefore it becomes necessary to divide the corpora used into the required data sets (divisions). Unfortunately, there is no universally accepted convention or standard for dividing bulk corpora. This caused different research groups to either define their own divisions (which makes comparison to similar research results difficult) or adopt existing published divisions (which do not adapt as new corpora versions are released). When a new treebank is released, a new division needs to be developed, which may or may not be consistent with the other treebank divisions. This document details a set of rules that have been defined to enable consistent divisions for old and new Arabic treebanks (ATB) and related corpora. These rules have been applied to the currently available LDC Modern Standard Arabic Treebanks (ATB1 - ATB12), the Egyptian Arabic Treebanks (ARZ1 - ARZ8) and the spoken Levantine ATB, and the exact divisions are listed in tables.
Computer science
Information science
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Suggested Citation:
Mona Diab, Nizar Y. Habash, Owen Rambow, Ryan M. Roth, , LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual, Columbia University Academic Commons, .

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