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Translation quality evaluation plays a crucial role in machine translation.
Decision Combination in Multiple Classifier Systems
Tin Kam Ho, Jonathan J. Hull, and Sargur N. Srihari. 1994 · 1994
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Bleu: a Method for Automatic Evaluation of Machine Translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Intelligent Translation Memory Matching and Retrieval with Sentence Encoders
Tharindu Ranasinghe, Constantin Orasan, and Ruslan Mitkov. 2020a · 2004
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A Study of Translation Edit Rate with Targeted Human Annotation
Matthew Snover, Bonnie Dorr, Richard Schwartz, Linnea Micciulla, and John Makhoul. 2006 · 2006
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The Original Borda Count and Partial Voting
Peter Emerson. 2013 · 2013
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chrF: character n-gram F-score for automatic MT evaluation
Maja Popovic. 2015 · 2015
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Sequence-Level Knowledge Distillation
Yoon Kim and Alexander M Rush. 2016 · 2016
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chrF++: words helping character n-grams
Maja Popovic. 2017 · 2017
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Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Findings of the 2018 Conference on Machine Translation
Ondrej Bojar, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Philipp Koehn, and Christof Monz. 2018 · 2018
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Layer-wise coordination between encoder and decoder for neural machine translation
Tianyu He, Xu Tan, Yingce Xia, Di He, Tao Qin, Zhibo Chen, and Tie-Yan Liu. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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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
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What Does BERT Learn about the Structure of Language?
Ganesh Jawahar, Benoît Sagot, and Djamé Seddah. 2019 · 2019
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OpenKiwi: An Open Source Framework for Quality Estimation
Fabio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, and André F. T. Martins. 2019 · 2019
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Open Sesame: Getting inside BERT’s Linguistic Knowledge
Yongjie Lin, Yi Chern Tan, and Robert Frank. 2019 · 2019
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YiSi - a Unified Semantic MT Quality Evaluation and Estimation Metric for Languages with Different Levels of Available Resources
Chi-kiu Lo. 2019 · 2019
Cited alongside, same era.
Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task
Thibault Sellam, Amy Pu, Hyung Won Chung, Sebastian Gehrmann, Qijun Tan, Markus Freitag, Dipanjan Das, and Ankur Parikh. 2020b · 2020
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Findings of the WMT 2020 Shared Task on Quality Estimation
Lucia Specia, Frédéric Blain, Marina Fomicheva, Erick Fonseca, Vishrav Chaudhary, Francisco Guzmán, and André F. T. Martins. 2020 · 2020
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Automatic Machine Translation Evaluation using Source Language Inputs and Cross-lingual Language Model
Kosuke Takahashi, Katsuhito Sudoh, and Satoshi Nakamura. 2020 · 2020
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Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing
Brian Thompson and Matt Post. 2020 · 2020
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What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding
Yu-An Wang and Yun-Nung Chen. 2020 · 2020
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Qingsong Ma, Johnny Wei, Ondřej Bojar, and Yvette Graham. 2019 · 2019
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Towards Understanding Knowledge Distillation
Mary Phuong and Christoph Lampert. 2019 · 2019
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BERT Rediscovers the Classical NLP Pipeline
Ian Tenney, Dipanjan Das, and Ellie Pavlick. 2019 · 2019
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Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
Cited alongside, same era.
BLEU might be guilty but references are not innocent
Markus Freitag, David Grangier, and Isaac Caswell. 2020 · 2020
Cited alongside, same era.
COMET: A neural framework for MT evaluation
Ricardo Rei, Craig Stewart, Ana C. Farinha, and Alon Lavie. 2020 · 2020
Cited alongside, same era.
A Primer in BERTology: What We Know About How BERT Works
Anna Rogers, Olga Kovaleva, and Anna Rumshisky. 2020 · 2020
Cited alongside, same era.
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
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Wei Zhao, Goran Glavaš, Maxime Peyrard, Yang Gao, Robert West, and Steffen Eger. 2020 · 2020
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Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain
Markus Freitag, Ricardo Rei, Nitika Mathur, Chi-kiu Lo, Craig Stewart, George Foster, Alon Lavie, and Ondřej Bojar. 2021 · 2021
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To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation
Tom Kocmi, Christian Federmann, Roman Grundkiewicz, Marcin Junczys-Dowmunt, Hitokazu Matsushita, and Arul Menezes. 2021 · 2021
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Findings of the WMT 2021 Shared Task on Quality Estimation
Lucia Specia, Frédéric Blain, Marina Fomicheva, Chrysoula Zerva, Zhenhao Li, Vishrav Chaudhary, and André F. T. Martins. 2021 · 2021
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RoBLEURT Submission for WMT2021 Metrics Task
Yu Wan, Dayiheng Liu, Baosong Yang, Tianchi Bi, Haibo Zhang, Boxing Chen, Weihua Luo, Derek F. Wong, and Lidia S. Chao. 2021 · 2021
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BARTScore: Evaluating Generated Text as Text Generation
Weizhe Yuan, Graham Neubig, and Pengfei Liu. 2021 · 2021
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