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ORCID4th WMT 2019: Florence, Italy - Volume 3: Shared Task Papers, Day 2
- Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Philipp Koehn, André Martins, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana L. Neves, Matt Post, Marco Turchi, Karin Verspoor:
Proceedings of the Fourth Conference on Machine Translation, WMT 2019, Florence, Italy, August 1-2, 2019 - Volume 3: Shared Task Papers, Day 2. Association for Computational Linguistics 2019 - Erick R. Fonseca, Lisa Yankovskaya, André F. T. Martins, Mark Fishel, Christian Federmann:
Findings of the WMT 2019 Shared Tasks on Quality Estimation. 1-10 - Rajen Chatterjee, Christian Federmann, Matteo Negri, Marco Turchi:
Findings of the WMT 2019 Shared Task on Automatic Post-Editing. 11-28 - Rachel Bawden, Kevin Bretonnel Cohen, Cristian Grozea, Antonio Jimeno-Yepes, Madeleine Kittner, Martin Krallinger, Nancy Mah
, Aurélie Névéol, Mariana L. Neves, Felipe Soares, Amy Siu, Karin Verspoor, Maika Vicente Navarro:
Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies. 29-53 - Philipp Koehn, Francisco Guzmán, Vishrav Chaudhary, Juan Miguel Pino:
Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions. 54-72 - Ergun Biçici:
RTM Stacking Results for Machine Translation Performance Prediction. 73-77 - Fábio N. Kepler, Jonay Trénous, Marcos V. Treviso, Miguel Vera, António Góis, M. Amin Farajian, António V. Lopes, André F. T. Martins:
Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task. 78-84 - Hyun Kim, Joon-Ho Lim, Hyun-Ki Kim, Seung-Hoon Na:
QE BERT: Bilingual BERT Using Multi-task Learning for Neural Quality Estimation. 85-89 - Mikhail Mosyagin, Varvara Logacheva:
MIPT System for World-Level Quality Estimation. 90-94 - Hou Qi:
NJU Submissions for the WMT19 Quality Estimation Shared Task. 95-100 - Elizaveta Yankovskaya, Andre Tättar, Mark Fishel:
Quality Estimation and Translation Metrics via Pre-trained Word and Sentence Embeddings. 101-105 - Junpei Zhou, Zhisong Zhang, Zecong Hu:
SOURCE: SOURce-Conditional Elmo-style Model for Machine Translation Quality Estimation. 106-111 - WonKee Lee, Jaehun Shin, Jong-Hyeok Lee:
Transformer-based Automatic Post-Editing Model with Joint Encoder and Multi-source Attention of Decoder. 112-117 - António V. Lopes, M. Amin Farajian, Gonçalo M. Correia, Jonay Trénous, André F. T. Martins:
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-Based Encoder-Decoder for Automatic Post-Editing. 118-123 - Santanu Pal, Hongfei Xu, Nico Herbig, Antonio Krüger, Josef van Genabith:
USAAR-DFKI - The Transference Architecture for English-German Automatic Post-Editing. 124-131 - Dimitar Sht. Shterionov, Joachim Wagner, Félix do Carmo:
APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task. 132-138 - Amirhossein Tebbifakhr, Matteo Negri, Marco Turchi:
Effort-Aware Neural Automatic Post-Editing. 139-144 - Hongfei Xu, Qiuhui Liu, Josef van Genabith:
UdS Submission for the WMT 19 Automatic Post-Editing Task. 145-150 - Casimiro Pio Carrino, Bardia Rafieian, Marta R. Costa-jussà, José A. R. Fonollosa:
Terminology-Aware Segmentation and Domain Feature for the WMT19 Biomedical Translation Task. 151-155 - Noor-e-Hira, Sadaf Abdul-Rauf, Kiran Kiani, Ammara Zafar, Raheel Nawaz:
Exploring Transfer Learning and Domain Data Selection for the Biomedical Translation. 156-163 - Wei Peng, Jianfeng Liu, Liangyou Li, Qun Liu:
Huawei's NMT Systems for the WMT 2019 Biomedical Translation Task. 164-168 - Danielle Saunders, Felix Stahlberg, Bill Byrne:
UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles. 169-174 - Felipe Soares, Martin Krallinger:
BSC Participation in the WMT Translation of Biomedical Abstracts. 175-178 - Pau Baquero-Arnal, Javier Iranzo-Sánchez, Jorge Civera, Alfons Juan:
The MLLP-UPV Spanish-Portuguese and Portuguese-Spanish Machine Translation Systems for WMT19 Similar Language Translation Task. 179-184 - Magdalena Biesialska, Lluis Guardia, Marta R. Costa-jussà:
The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation. 185-191 - Yu Chen, Tania Avgustinova:
Machine Translation from an Intercomprehension Perspective. 192-196 - Jyotsana Khatri, Pushpak Bhattacharyya:
Utilizing Monolingual Data in NMT for Similar Languages: Submission to Similar Language Translation Task. 197-201 - Sahinur Rahman Laskar, Partha Pakray, Sivaji Bandyopadhyay:
Neural Machine Translation: Hindi-Nepali. 202-207 - Benjamin Marie, Raj Dabre, Atsushi Fujita:
NICT's Machine Translation Systems for the WMT19 Similar Language Translation Task. 208-212 - Atul Kr. Ojha, Ritesh Kumar, Akanksha Bansal, Priya Rani:
Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019. 213-218 - Santanu Pal, Marcos Zampieri, Josef van Genabith:
UDS-DFKI Submission to the WMT2019 Czech-Polish Similar Language Translation Shared Task. 219-223 - Michael Przystupa, Muhammad Abdul-Mageed:
Neural Machine Translation of Low-Resource and Similar Languages with Backtranslation. 224-235 - Yves Scherrer, Raúl Vázquez, Sami Virpioja:
The University of Helsinki Submissions to the WMT19 Similar Language Translation Task. 236-244 - Amittai Axelrod, Anish Kumar, Steve Sloto:
Dual Monolingual Cross-Entropy Delta Filtering of Noisy Parallel Data. 245-251 - Gabriel Bernier-Colborne, Chi-kiu Lo:
NRC Parallel Corpus Filtering System for WMT 2019. 252-260 - Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán, Holger Schwenk, Philipp Koehn:
Low-Resource Corpus Filtering Using Multilingual Sentence Embeddings. 261-266 - Grant Erdmann, Jeremy Gwinnup:
Quality and Coverage: The AFRL Submission to the WMT19 Parallel Corpus Filtering for Low-Resource Conditions Task. 267-270 - Jesús González-Rubio:
Webinterpret Submission to the WMT2019 Shared Task on Parallel Corpus Filtering. 271-276 - Murathan Kurfali, Robert Östling:
Noisy Parallel Corpus Filtering through Projected Word Embeddings. 277-281 - Zuzanna Parcheta, Germán Sanchis-Trilles, Francisco Casacuberta:
Filtering of Noisy Parallel Corpora Based on Hypothesis Generation. 282-288 - Sukanta Sen, Asif Ekbal, Pushpak Bhattacharyya:
Parallel Corpus Filtering Based on Fuzzy String Matching. 289-293 - Raúl Vázquez, Umut Sulubacak, Jörg Tiedemann:
The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task. 294-300
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