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1
Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation ...
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2
NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task ...
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3
ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic ...
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4
AraT5: Text-to-Text Transformers for Arabic Language Generation ...
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5
DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings ...
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6
Mega-COV: A Billion-Scale Dataset of 100+ Languages for COVID-19 ...
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7
Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments ...
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8
DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect ...
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9
Improving Dialogue Act Classification for Spontaneous Arabic Speech and Instant Messages at Utterance Level ...
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10
JANA: A Human-Human Dialogues Corpus for Egyptian Dialect
Elmadany, AbdelRahim A.; Abdou, Sherif M.; Gheith, Mervat. - : Linguistic Data Consortium, 2016. : https://www.ldc.upenn.edu, 2016
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11
JANA: A Human-Human Dialogues Corpus for Egyptian Dialect ...
Elmadany, AbdelRahim A.; Abdou, Sherif M.; Gheith, Mervat. - : Linguistic Data Consortium, 2016
Abstract:

Introduction

JANA: A Human-Human Dialogues Corpus for Egyptian Dialect was developed by researchers at Cairo University. It consists of 82 transcribed dialogues from call center inquiries annotated for dialogue acts. Data was collected from call centers for banks, airlines and mobile network providers as follows: (1) spontaneous spoken dialogues from inquiries to banks and airlines; and (2) instant messaging (chat) dialogues from a mobile network provider's online support system.

Data

The transcribed dialogues consist of 52 telephone calls and 30 instant messaging conversations, amounting to approximately 20,311 words. The data contains roughly 3,001 conversation turns, with an average of 6.7 words per turn, and 4,725 utterances, with an average of 4.3 words per utterance. The data was transcribed using Transcriber. All data is presented as UTF-8 XML. ...
URL: https://catalog.ldc.upenn.edu/LDC2016T24
https://dx.doi.org/10.35111/r55z-6547
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12
Turn Segmentation into Utterances for Arabic Spontaneous Dialogues and Instance Messages ...
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13
Towards Understanding Egyptian Arabic Dialogues ...
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