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Machine Translation 17th China Conference, CCMT 2021, Xining, China, October 8-10, 2021, Revised Selected Papers / edited by Jinsong Su, Rico Sennrich.

Contributor(s): Su, Jinsong, editor literario | Sennrich, Rico, editor literario
Material type: materialTypeLabelE-bookSeries: (Communications in Computer and Information Science, 1865-0937 ; 1464); (Computer Science (SpringerNature-11645)); (Computer Science (R0) (SpringerNature-43710)).Publisher: Singapore : Springer International Publising Springer International Publising, 2021Edition: First edition 2021.Description: 1 recurso en línea (XIII, 125 páginas) : 52 ilustraciones, 40 ilustraciones a color.ISBN: 9789811675126.Subject: Lingüística computacionalOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
A Document-Level Machine Translation Quality Estimation Model Based on Centering Theory -- SAUNLP'S Submission for CCMT 2021 Quality Estimation Task -- BJTU-Toshiba's Submission to CCMT 2021 QE and APE task -- Low-resource Neural Machine Translation based on Improved Reptile Meta-Learning Method -- Semantic Perception-Oriented Low-resource Neural Machine Translation -- Semantic-aware Deep Neural Attention Network for Machine Translation Detection -- Routing Based Context Selection for Document-Level Neural Machine Translation -- Generating Diverse Back-translations via Constraint Random Decoding -- Machine Translation Evaluation Technical Report for CCMT' 2021 -- BJTU's Submission to CCMT 2021 Translation Evaluation Task.
Abstract: This book constitutes the refereed proceedings of the 17th China Conference on Machine Translation, CCMT 2020, held in Xining, China, in October 2021. The 10 papers presented in this volume were carefully reviewed and selected from 25 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería P308 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.19122318
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A Document-Level Machine Translation Quality Estimation Model Based on Centering Theory -- SAUNLP'S Submission for CCMT 2021 Quality Estimation Task -- BJTU-Toshiba's Submission to CCMT 2021 QE and APE task -- Low-resource Neural Machine Translation based on Improved Reptile Meta-Learning Method -- Semantic Perception-Oriented Low-resource Neural Machine Translation -- Semantic-aware Deep Neural Attention Network for Machine Translation Detection -- Routing Based Context Selection for Document-Level Neural Machine Translation -- Generating Diverse Back-translations via Constraint Random Decoding -- Machine Translation Evaluation Technical Report for CCMT' 2021 -- BJTU's Submission to CCMT 2021 Translation Evaluation Task.

This book constitutes the refereed proceedings of the 17th China Conference on Machine Translation, CCMT 2020, held in Xining, China, in October 2021. The 10 papers presented in this volume were carefully reviewed and selected from 25 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.

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