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Despite the recent success of automatic metrics for assessing translation quality, their application in evaluating the quality of machine-translated chats has been limited.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Spearman rank correlation
Jerrold H Zar. 2005 · 2005
Earlier work this paper cites.
A study of translation edit rate with targeted human annotation
Matthew Snover, Bonnie Dorr, Rich Schwartz, Linnea Micciulla, and John Makhoul. 2006 · 2006
Earlier work this paper cites.
METEOR: An automatic metric for MT evaluation with high levels of correlation with human judgments
Alon Lavie and Abhaya Agarwal. 2007 · 2007
Earlier work this paper cites.
Difficulties in establishing common ground in multiparty groups using machine translation
Naomi Yamashita, Rieko Inaba, Hideaki Kuzuoka, and Toru Ishida. 2009 · 2009
Earlier work this paper cites.
A systematic comparison of smoothing techniques for sentence-level BLEU
Boxing Chen and Colin Cherry. 2014 · 2014
Earlier work this paper cites.
Multidimensional quality metrics (mqm): A framework for declaring and describing translation quality metrics
Arle Lommel, Hans Uszkoreit, and Aljoscha Burchardt. 2014 · 2014
Earlier work this paper cites.
Results of the WMT14 metrics shared task
Matouš Macháček and Ondřej Bojar. 2014 · 2014
Earlier work this paper cites.
QUality estimation from ScraTCH (QUETCH): Deep learning for word-level translation quality estimation
Julia Kreutzer, Shigehiko Schamoni, and Stefan Riezler. 2015 · 2015
Earlier work this paper cites.
chrf: character n-gram f-score for automatic mt evaluation
Maja Popović. 2015 · 2015
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Results of the WMT15 metrics shared task
Miloš Stanojević, Amir Kamran, Philipp Koehn, and Ondřej Bojar. 2015 · 2015
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Results of the WMT16 metrics shared task
Ondřej Bojar, Yvette Graham, Amir Kamran, and Miloš Stanojević. 2016 · 2016
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Results of the WMT17 metrics shared task
Ondřej Bojar, Yvette Graham, and Amir Kamran. 2017 · 2017
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Does neural machine translation benefit from larger context?
Sébastien Jean, Stanislas Lauly, Orhan Firat, and Kyunghyun Cho. 2017 · 2017
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Neural machine translation with extended context
Jörg Tiedemann and Yves Scherrer. 2017 · 2017
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Results of the WMT18 metrics shared task: Both characters and embeddings achieve good performance
Qingsong Ma, Ondřej Bojar, and Yvette Graham. 2018 · 2018
Earlier work this paper cites.
Contextual neural model for translating bilingual multi-speaker conversations
Sameen Maruf, André F. T. Martins, and Gholamreza Haffari. 2018 · 2018
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Findings of the WMT 2019 shared tasks on quality estimation
Erick Fonseca, Lisa Yankovskaya, André F. T. Martins, Mark Fishel, and Christian Federmann. 2019 · 2019
Earlier work this paper cites.
Results of the WMT19 metrics shared task: Segment-level and strong MT systems pose big challenges
Qingsong Ma, Johnny Wei, Ondřej Bojar, and Yvette Graham. 2019 · 2019
Cited alongside, same era.
Selective attention for context-aware neural machine translation
Sameen Maruf, André F. T. Martins, and Gholamreza Haffari. 2019 · 2019
Cited alongside, same era.
When a good translation is wrong in context: Context-aware machine translation improves on deixis, ellipsis, and lexical cohesion
Elena Voita, Rico Sennrich, and Ivan Titov. 2019 · 2019
Cited alongside, same era.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019
Cited alongside, same era.
MoverScore: Text generation evaluating with contextualized embeddings and earth mover distance
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, and Steffen Eger. 2019 · 2019
Cited alongside, same era.
Results of WMT22 metrics shared task: Stop using BLEU – neural metrics are better and more robust
Markus Freitag, Ricardo Rei, Nitika Mathur, Chi-kiu Lo, Craig Stewart, Eleftherios Avramidis, Tom Kocmi, George Foster, Alon Lavie, and André F. T. Martins. 2022 · 2022
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Agent and user-generated content and its impact on customer support MT
Madalena Gonçalves, Marianna Buchicchio, Craig Stewart, Helena Moniz, and Alon Lavie. 2022 · 2022
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BlonDe: An automatic evaluation metric for document-level machine translation
Yuchen Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, and Ming Zhou. 2022 · 2022
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Chat translation error detection for assisting cross-lingual communications
Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Ryoko Tokuhisa, Ana Brassard, and Kentaro Inui. 2022 · 2022
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COMET-22: Unbabel-IST 2022 submission for the metrics shared task
Ricardo Rei, José G. C. de Souza, Duarte Alves, Chrysoula Zerva, Ana C Farinha, Taisiya Glushkova, Alon Lavie, Luisa Coheur, and André F. T. Martins. 2022a · 2022
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Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Édouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
Cited alongside, same era.
Project MAIA: Multilingual AI agent assistant
André F. T. Martins, Joao Graca, Paulo Dimas, Helena Moniz, and Graham Neubig. 2020 · 2020
Cited alongside, same era.
Results of the WMT20 metrics shared task
Nitika Mathur, Johnny Wei, Markus Freitag, Qingsong Ma, and Ondřej Bojar. 2020 · 2020
Cited alongside, same era.
COMET: A neural framework for MT evaluation
Ricardo Rei, Craig Stewart, Ana C Farinha, and Alon Lavie. 2020a · 2020
Cited alongside, same era.
Bleurt: Learning robust metrics for text generation
Thibault Sellam, Dipanjan Das, and Ankur Parikh. 2020 · 2020
Cited alongside, same era.
InfoXLM: An information-theoretic framework for cross-lingual language model pre-training
Zewen Chi, Li Dong, Furu Wei, Nan Yang, Saksham Singhal, Wenhui Wang, Xia Song, Xian-Ling Mao, Heyan Huang, and Ming Zhou. 2021 · 2021
Cited alongside, same era.
Measuring and increasing context usage in context-aware machine translation
Patrick Fernandes, Kayo Yin, Graham Neubig, and André F. T. Martins. 2021 · 2021
Cited alongside, same era.
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CometKiwi: IST-unbabel 2022 submission for the quality estimation shared task
Ricardo Rei, Marcos Treviso, Nuno M. Guerreiro, Chrysoula Zerva, Ana C Farinha, Christine Maroti, José G. C. de Souza, Taisiya Glushkova, Duarte Alves, Luisa Coheur, Alon Lavie, and André F. T. Martins. 2022b · 2022
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Understanding and being understood: User strategies for identifying and recovering from mistranslations in machine translation-mediated chat
Samantha Robertson and Mark Díaz. 2022 · 2022
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Embarrassingly easy document-level MT metrics: How to convert any pretrained metric into a document-level metric
Giorgos Vernikos, Brian Thompson, Prashant Mathur, and Marcello Federico. 2022 · 2022
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Findings of the WMT 2023 shared task on quality estimation
Frederic Blain, Chrysoula Zerva, Ricardo Ribeiro, Nuno M. Guerreiro, Diptesh Kanojia, José G. C. de Souza, Beatriz Silva, Tânia Vaz, Yan Jingxuan, Fatemeh Azadi, Constantin Orasan, and André Martins. 2023 · 2023
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Ties matter: Meta-evaluating modern metrics with pairwise accuracy and tie calibration
Daniel Deutsch, George Foster, and Markus Freitag. 2023 · 2023
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Results of WMT23 metrics shared task: Metrics might be guilty but references are not innocent
Markus Freitag, Nitika Mathur, Chi-kiu Lo, Eleftherios Avramidis, Ricardo Rei, Brian Thompson, Tom Kocmi, Frederic Blain, Daniel Deutsch, Craig Stewart, Chrysoula Zerva, Sheila Castilho, Alon Lavie, and George Foster. 2023 · 2023
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xcomet: Transparent machine translation evaluation through fine-grained error detection
Nuno M Guerreiro, Ricardo Rei, Daan van Stigt, Luisa Coheur, Pierre Colombo, and André FT Martins. 2023 · 2023
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MetricX-23: The Google submission to the WMT 2023 metrics shared task
Juraj Juraska, Mara Finkelstein, Daniel Deutsch, Aditya Siddhant, Mehdi Mirzazadeh, and Markus Freitag. 2023 · 2023
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Qingyu Lu, Baopu Qiu, Liang Ding, Liping Xie, and Dacheng Tao. 2023 · 2023
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A context-aware annotation framework for customer support live chat machine translation
Miguel Menezes, M. Amin Farajian, Helena Moniz, and João Varelas Graça. 2023 · 2023
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Evaluating metrics for document-context evaluation in machine translation
Vikas Raunak, Tom Kocmi, and Matt Post. 2023 · 2023
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Fine-tuned machine translation metrics struggle in unseen domains
Vilém Zouhar, Shuoyang Ding, Anna Currey, Tatyana Badeka, Jenyuan Wang, and Brian Thompson. 2024 · 2024
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