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Computational Processing of the Portuguese Language - 13th International Conference, PROPOR 2018, Canela, Brazil, September 24-26, 2018, Proceedings (Paperback, 1st ed. 2018) Loot Price: R1,535
Discovery Miles 15 350
Computational Processing of the Portuguese Language - 13th International Conference, PROPOR 2018, Canela, Brazil, September...

Computational Processing of the Portuguese Language - 13th International Conference, PROPOR 2018, Canela, Brazil, September 24-26, 2018, Proceedings (Paperback, 1st ed. 2018)

Aline Villavicencio, Viviane Moreira, Alberto Abad, Helena Caseli, Pablo Gamallo, Carlos Ramisch, Hugo Goncalo Oliveira, Gustavo Henrique Paetzold

Series: Lecture Notes in Artificial Intelligence, 11122

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Loot Price R1,535 Discovery Miles 15 350 | Repayment Terms: R144 pm x 12*

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This book constitutes the refereed proceedings of the 13th International Conference on Computational Processing of the Portuguese Language, PROPOR 2018, held in Canela, RS, Brazil, in September 2018. The 42 full papers, 3 short papers and 4 other papers presented in this volume were carefully reviewed and selected from 92 submissions. The papers are organized in topical sections named: Corpus Linguistics, Information Extraction, LanguageApplications, Language Resources, Sentiment Analysis and Opinion Mining, Speech Processing, and Syntax and Parsing.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Artificial Intelligence, 11122
Release date: August 2018
First published: 2018
Editors: Aline Villavicencio • Viviane Moreira • Alberto Abad • Helena Caseli • Pablo Gamallo • Carlos Ramisch • Hugo Goncalo Oliveira • Gustavo Henrique Paetzold
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 500
Edition: 1st ed. 2018
ISBN-13: 978-3-319-99721-6
Categories: Books > Language & Literature > Language & linguistics > Computational linguistics
Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
LSN: 3-319-99721-1
Barcode: 9783319997216

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