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1
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 ...
Abstract: The term natural language refers to any system of symbolic communication (spoken, signed or written) without intentional human planning and design. This distinguishes natural languages such as Arabic and Japanese from artificially constructed languages such as Esperanto or Python. Natural language processing (NLP) is the sub-field of artificial intelligence (AI) focused on modeling natural languages to build applications such as speech recognition and synthesis, machine translation, optical character recognition (OCR), sentiment analysis (SA), question answering, dialogue systems, etc. NLP is a highly interdisciplinary field with connections to computer science, linguistics, cognitive science, psychology, mathematics and others. Some of the earliest AI applications were in NLP (e.g., machine translation); and the last decade (2010-2020) in particular has witnessed an incredible increase in quality, matched with a rise in public awareness, use, and expectations of what may have seemed like science fiction in ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2011.12631
https://arxiv.org/abs/2011.12631
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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
MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction ...
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10
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models ...
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11
Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic ...
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12
Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015 ...
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13
A Large Scale Corpus of Gulf Arabic ...
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14
LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual ...
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