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AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization ...
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2
NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task ...
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3
The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models ...
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4
Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects ...
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5
NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ...
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6
A Panoramic Survey of Natural Language Processing in the Arab World ...
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7
Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling ...
Zalmout, Nasser; Habash, Nizar. - : arXiv, 2019
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8
Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging ...
Zalmout, Nasser; Habash, Nizar. - : arXiv, 2019
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9
Universal Dependencies 2.2
In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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10
MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction ...
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11
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models ...
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12
Universal Dependencies 2.1
In: https://hal.inria.fr/hal-01682188 ; 2017 (2017)
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13
Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic ...
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14
Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015 ...
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15
A Large Scale Corpus of Gulf Arabic ...
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16
Conventional Orthography for Dialectal Arabic (CODA): Principles and Guidelines -- Egyptian Arabic - Version 0.7 - March 2012
Habash, Nizar Y.; Diab, Mona T.; Rambow, Owen C.. - : Center for Computational Learning Systems, Columbia University, 2014
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17
Conventional Orthography for Dialectal Arabic (CODA): Principles and Guidelines -- Egyptian Arabic - Version 0.7 - March 2012 ...
Habash, Nizar Y.; Diab, Mona T.; Rambow, Owen C.. - : Columbia University, 2014
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18
Annotation Guidelines for Arabic Nominal Gender, Number, and Rationality
Habash, Nizar Y.; Alkuhlani, Sarah M.. - : Center for Computational Learning Systems, Columbia University, 2013
Abstract: The annotation task we define here is focused on information relevant to modeling Arabic nominal gender and number computationally. First we define the various facts regarding number and gender in Modern Standard Arabic and then we present the task guidelines and examples.
Keyword: Computer science; Information science; Linguistics
URL: https://doi.org/10.7916/D8V413Q6
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19
LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual
Diab, Mona T.; Habash, Nizar Y.; Rambow, Owen C.. - : Center for Computational Learning Systems, Columbia University, 2013
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20
LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual ...
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