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Un système de traduction de verbes entre arabe standard et arabe dialectal par analyse morphologique profonde
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In: Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-00908795 ; Traitement Automatique des Langues Naturelles, Jun 2013, France. pp.396 - 406 (2013)
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Overview of the SPMRL 2013 shared task: cross-framework evaluation of parsing morphologically rich languages
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In: Seddah, Djamé, Tsarfaty, Reut, Kübler, Sandra, Candito, Marie, Choi, Jinho, Farkas, Richard, Foster, Jennifer orcid:0000-0002-7789-4853 , Goenaga, Iakes, Gojenola, Koldo, Goldberg, Yoav, Green, Spence, Habash, Nizar, Kuhlmann, Marco, Maier, Wolfgang, Nivre, Joakim, Przepiórkowski, Adam, Roth, Ryan, Seeker, Wolfgang, Versley, Yannick, Vincze, Veronika, Wolinski, Marcin, Wróblewska, Alina and Villemonte de la Clérgerie, Eric (2013) Overview of the SPMRL 2013 shared task: cross-framework evaluation of parsing morphologically rich languages. In: Fourth Workshop on Statistical Parsing of Morphologically Rich Languages, 18 Oct 2013, Seattle, WA. (2013)
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Annotation Guidelines for Arabic Nominal Gender, Number, and Rationality
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LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual
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The Effects of Factorizing Root and Pattern Mapping in Bidirectional Tunisian - Standard Arabic Machine Translation
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In: MT Summit 2013 ; https://hal.archives-ouvertes.fr/hal-00908761 ; MT Summit 2013, Sep 2013, France. pas d'édition papier (2013)
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Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages
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In: Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages ; https://hal.archives-ouvertes.fr/hal-00877096 ; Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages, Oct 2013, Seattle, Washington, United States. pp.146--182 (2013)
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LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual ...
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Annotation Guidelines for Arabic Nominal Gender, Number, and Rationality ...
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LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual ...
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Abstract:
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 ...
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Keyword:
Computer science; Information science
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URL: https://dx.doi.org/10.7916/d8pk0qkd https://academiccommons.columbia.edu/doi/10.7916/D8PK0QKD
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