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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
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. *Samples* Please view this sample. *Updates* None at this time. *Pricing* Not-for-profit organizations may license this data set for US$25.00 under the LDC Not-for-Profit Membership Agreement or under the LDC User Agreement for Non-Members for use in linguistic research, education and non-commercial technology development. For-profit organizations may license this data for US$1650 under the Commercial License Agreement for JANA: A Human-Human Dialogues Corpus for Egyptian Dialect (LDC2016T24). Current fees in this catalog entry reflect those pertaining to a for-profit organization license. Not-for-profit organizations should contact LDC's Membership Office to license this data set.
URL: https://catalog.ldc.upenn.edu/LDC2016T24
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JANA: A Human-Human Dialogues Corpus for Egyptian Dialect ...
Elmadany, AbdelRahim A.; Abdou, Sherif M.; Gheith, Mervat. - : Linguistic Data Consortium, 2016
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3
Turn Segmentation into Utterances for Arabic Spontaneous Dialogues and Instance Messages ...
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4
Towards Understanding Egyptian Arabic Dialogues ...
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5
Sentiment Analysis For Modern Standard Arabic And Colloquial ...
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Idioms-Proverbs Lexicon for Modern Standard Arabic and Colloquial Sentiment Analysis ...
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7
A stochastic Arabic diacritizer based on a hybrid of factorized and unfactorized textual features
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 1, 166-175
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OLC Linguistik
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8
Beam search pruning in speech recognition using a posterior probability-based confidence measure
In: Speech communication. - Amsterdam [u.a.] : Elsevier 42 (2004) 3-4, 409-428
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