Table of Contents

• Frontmatter [doi]
• Findings of the 2021 Conference on Machine Translation (WMT21)Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ondrej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-Jussà, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin, Marcos Zampieri. 1-88 [doi]
• Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine TranslationGuillaume Wenzek, Vishrav Chaudhary, Angela Fan, Sahir Gomez, Naman Goyal, Somya Jain, Douwe Kiela, Tristan Thrush, Francisco Guzmán. 89-99 [doi]
• GTCOM Neural Machine Translation Systems for WMT21Chao Bei, Hao Zong. 100-103 [doi]
• The University of Edinburgh's English-German and English-Hausa Submissions to the WMT21 News Translation TaskPinzhen Chen, Jindrich Helcl, Ulrich Germann, Laurie Burchell, Nikolay Bogoychev, Antonio Valerio Miceli Barone, Jonas Waldendorf, Alexandra Birch, Kenneth Heafield. 104-109 [doi]
• Tune in: The AFRL WMT21 News-Translation SystemsGrant Erdmann, Jeremy Gwinnup, Tim Anderson. 110-116 [doi]
• The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT ApproachCarlos Escolano, Ioannis Tsiamas, Christine Basta, Javier Ferrando, Marta R. Costa-Jussà, José A. R. Fonollosa. 117-122 [doi]
• CUNI Systems in WMT21: Revisiting Backtranslation Techniques for English-Czech NMTPetr Gebauer, Ondrej Bojar, Vojtech Svandelík, Martin Popel. 123-129 [doi]
• Ensembling of Distilled Models from Multi-task Teachers for Constrained Resource Language PairsAmr Hendy, Esraa A. Gad, Mohamed Abdelghaffar, Jailan S. ElMosalami, Mohamed Afify, Ahmed Y. Tawfik, Hany Hassan Awadalla. 130-135 [doi]
• Mi\dheind's WMT 2021 SubmissionHaukur Páll Barri Símonarson, Vésteinn Snæbjarnarson, Pétur Orri Ragnarson, Haukur Jónsson, Vilhjalmur Thorsteinsson. 136-139 [doi]
• Allegro.eu Submission to WMT21 News Translation TaskMikolaj Koszowski, Karol Grzegorczyk, Tsimur Hadeliya. 140-143 [doi]
• Illinois Japanese $\leftrightarrow$ English News Translation for WMT 2021Giang Le, Shinka Mori, Lane Schwartz. 144-153 [doi]
• MiSS@WMT21: Contrastive Learning-reinforced Domain Adaptation in Neural Machine TranslationZuchao Li, Masao Utiyama, Eiichiro Sumita, Hai Zhao. 154-161 [doi]
• The Fujitsu DMATH Submissions for WMT21 News Translation and Biomedical Translation TasksAnder Martinez. 162-166 [doi]
• Adam Mickiewicz University's English-Hausa Submissions to the WMT 2021 News Translation TaskArtur Nowakowski, Tomasz Dwojak. 167-171 [doi]
• eTranslation's Submissions to the WMT 2021 News Translation TaskCsaba Oravecz, Katina Bontcheva, David Kolovratník, Bhavani Bhaskar, Michael Jellinghaus, Andreas Eisele 0001. 172-179 [doi]
• The University of Edinburgh's Bengali-Hindi Submissions to the WMT21 News Translation TaskProyag Pal, Alham Fikri Aji, Pinzhen Chen, Sukanta Sen. 180-186 [doi]
• The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21Lihua Qian, Yi Zhou, Zaixiang Zheng, Yaoming Zhu, Zehui Lin, JiangTao Feng, Shanbo Cheng, Lei Li, Mingxuan Wang, Hao Zhou. 187-196 [doi]
• NVIDIA NeMo's Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21Sandeep Subramanian, Oleksii Hrinchuk, Virginia Adams, Oleksii Kuchaiev. 197-204 [doi]
• Facebook AI's WMT21 News Translation Task SubmissionChau Tran, Shruti Bhosale, James Cross, Philipp Koehn, Sergey Edunov, Angela Fan. 205-215 [doi]
• Tencent Translation System for the WMT21 News Translation TaskLongyue Wang, Mu Li, Fangxu Liu, Shuming Shi 0001, Zhaopeng Tu, Xing Wang 0007, Shuangzhi Wu, Jiali Zeng, Wen Zhang. 216-224 [doi]
• HW-TSC's Participation in the WMT 2021 News Translation Shared TaskDaimeng Wei, Zongyao Li, Zhanglin Wu, Zhengzhe Yu, Xiaoyu Chen, Hengchao Shang, Jiaxin Guo, Minghan Wang, Lizhi Lei, Min Zhang, Hao Yang, Ying Qin. 225-231 [doi]
• LISN @ WMT 2021Jitao Xu 0001, Minh Quang Pham, Sadaf Abdul-Rauf, François Yvon. 232-242 [doi]
• WeChat Neural Machine Translation Systems for WMT21Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou. 243-254 [doi]
• Small Model and In-Domain Data Are All You NeedHui Zeng. 255-259 [doi]
• The Mininglamp Machine Translation System for WMT21Shiyu Zhao, Xiaopu Li, Minghui Wu, Jie Hao. 260-264 [doi]
• The NiuTrans Machine Translation Systems for WMT21Shuhan Zhou, Tao Zhou, Binghao Wei, Yingfeng Luo, Yongyu Mu, Zefan Zhou, Chenglong Wang, Xuanjun Zhou, Chuanhao Lv, Yi Jing, Laohu Wang, Jingnan Zhang, Canan Huang, Zhongxiang Yan, Chi Hu, Bei Li, Tong Xiao, Jingbo Zhu. 265-272 [doi]
• Improving Similar Language Translation With Transfer LearningIfe Adebara, Muhammad Abdul-Mageed. 273-278 [doi]
• T4T Solution: WMT21 Similar Language Task for the Spanish-Catalan and Spanish-Portuguese Language PairMiguel Canals, Marc Raventós Tato. 279-283 [doi]
• Neural Machine Translation for Tamil-Telugu PairSahinur Rahman Laskar, Bishwaraj Paul, Prottay Kumar Adhikary, Partha Pakray, Sivaji Bandyopadhyay. 284-287 [doi]
• Low Resource Similar Language Neural Machine Translation for Tamil-TeluguVandan Mujadia, Dipti Misra Sharma. 288-291 [doi]
• Similar Language Translation for Catalan, Portuguese and Spanish Using Marian NMTReinhard Rapp. 292-298 [doi]
• NITK-UoH: Tamil-Telugu Machine Translation Systems for the WMT21 Similar Language Translation TaskRichard Saldanha, Ananthanarayana V. S, Anand Kumar M, Parameswari Krishnamurthy. 299-303 [doi]
• A3-108 Machine Translation System for Similar Language Translation Shared Task 2021Saumitra Yadav, Manish Shrivastava 0001. 304-306 [doi]
• Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task SubmissionShinhyeok Oh, Sion Jang, Hu Xu, Shounan An, Insoo Oh. 307-314 [doi]
• Adapting Neural Machine Translation for Automatic Post-EditingAbhishek Sharma, Prabhakar Gupta, Anil Nelakanti. 315-319 [doi]
• ISTIC's Triangular Machine Translation System for WMT2021Hangcheng Guo, Wenbin Liu, Yanqing He, Tian Lan, Hongjiao Xu, Zhenfeng Wu, You Pan. 320-324 [doi]
• HW-TSC's Participation in the WMT 2021 Triangular MT Shared TaskZongyao Li, Daimeng Wei, Hengchao Shang, Xiaoyu Chen, Zhanglin Wu, Zhengzhe Yu, Jiaxin Guo, Minghan Wang, Lizhi Lei, Min Zhang, Hao Yang, Ying Qin. 325-330 [doi]
• DUTNLP Machine Translation System for WMT21 Triangular Translation TaskHuan Liu, Junpeng Liu, Kaiyu Huang, Degen Huang. 331-335 [doi]
• Pivot Based Transfer Learning for Neural Machine Translation: CFILT IITB @ WMT 2021 Triangular MTShivam Mhaskar, Pushpak Bhattacharyya. 336-340 [doi]
• Papago's Submissions to the WMT21 Triangular Translation TaskJeonghyeok Park, Hyunjoong Kim, Hyunchang Cho. 341-346 [doi]
• Machine Translation of Low-Resource Indo-European LanguagesWei-Rui Chen, Muhammad Abdul-Mageed. 347-353 [doi]
• CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared TaskJosef Jon, Michal Novák, João Paulo Aires, Dusan Varis, Ondrej Bojar. 354-361 [doi]
• Transfer Learning with Shallow Decoders: BSC at WMT2021's Multilingual Low-Resource Translation for Indo-European Languages Shared TaskKsenia Kharitonova, Ona De Gibert Bonet, Jordi Armengol-Estapé, Mar Rodriguez i Alvarez, Maite Melero. 362-367 [doi]
• EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMTSvetlana Tchistiakova, Jesujoba O. Alabi, Koel Dutta Chowdhury, Sourav Dutta, Dana Ruiter. 368-375 [doi]
• TenTrans Multilingual Low-Resource Translation System for WMT21 Indo-European Languages TaskHan Yang, Bojie Hu, Wanying Xie, Ambyera Han, Pan Liu, Jinan Xu, Qi Ju. 376-382 [doi]
• The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021Saptarashmi Bandyopadhyay, Tasnim Kabir, Zizhen Lian, Marine Carpuat. 383-386 [doi]
• To Optimize, or Not to Optimize, That Is the Question: TelU-KU Models for WMT21 Large-Scale Multilingual Machine TranslationSari Dewi Budiwati, Tirana Fatyanosa, Mahendra Data, Dedy Rahman Wijaya, Patrick Adolf Telnoni, Arie Ardiyanti Suryani, Agus Pratondo, Masayoshi Aritsugi. 387-397 [doi]
• MMTAfrica: Multilingual Machine Translation for African LanguagesChris Chinenye Emezue, Bonaventure F. P. Dossou. 398-411 [doi]
• The LMU Munich System for the WMT 2021 Large-Scale Multilingual Machine Translation Shared TaskWen Lai, Jindrich Libovický, Alexander Fraser 0001. 412-417 [doi]
• Back-translation for Large-Scale Multilingual Machine TranslationBaohao Liao, Shahram Khadivi, Sanjika Hewavitharana. 418-424 [doi]
• Maastricht University's Large-Scale Multilingual Machine Translation System for WMT 2021Danni Liu, Jan Niehues. 425-430 [doi]
• Data Processing Matters: SRPH-Konvergen AI's Machine Translation System for WMT'21Lintang Sutawika, Jan Christian Blaise Cruz. 431-438 [doi]
• TenTrans Large-Scale Multilingual Machine Translation System for WMT21Wanying Xie, Bojie Hu, Han Yang, Dong Yu 0003, Qi Ju. 439-445 [doi]
• Multilingual Machine Translation Systems from Microsoft for WMT21 Shared TaskJian Yang, Shuming Ma, Haoyang Huang, Dongdong Zhang 0001, Li Dong 0004, Shaohan Huang, Alexandre Muzio, Saksham Singhal, Hany Hassan, Xia Song, Furu Wei. 446-455 [doi]
• HW-TSC's Participation in the WMT 2021 Large-Scale Multilingual Translation TaskZhengzhe Yu, Daimeng Wei, Zongyao Li, Hengchao Shang, Xiaoyu Chen, Zhanglin Wu, Jiaxin Guo, Minghan Wang, Lizhi Lei, Min Zhang, Hao Yang, Ying Qin. 456-463 [doi]
• On the Stability of System Rankings at WMTRebecca Knowles. 464-477 [doi]
• To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine TranslationTom Kocmi, Christian Federmann, Roman Grundkiewicz, Marcin Junczys-Dowmunt, Hitokazu Matsushita, Arul Menezes. 478-494 [doi]
• Just Ask! Evaluating Machine Translation by Asking and Answering QuestionsMateusz Krubinski, Erfan Ghadery, Marie-Francine Moens, Pavel Pecina. 495-506 [doi]
• A Fine-Grained Analysis of BERTScoreMichael Hanna, Ondrej Bojar. 507-517 [doi]
• Evaluating Multiway Multilingual NMT in the Turkic LanguagesJamshidbek Mirzakhalov, Anoop Babu, Aigiz Kunafin, Ahsan Wahab, Behzodbek Moydinboyev, Sardana Ivanova, Mokhiyakhon Uzokova, Shaxnoza Pulatova, Duygu Ataman, Julia Kreutzer, Francis Tyers, Orhan Firat, John Licato, Sriram Chellappan. 518-530 [doi]
• Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and AdjectivesJonas-Dario Troles, Ute Schmid. 531-541 [doi]
• Continual Learning in Multilingual NMT via Language-Specific EmbeddingsAlexandre Berard. 542-565 [doi]
• DELA Corpus - A Document-Level Corpus Annotated with Context-Related IssuesSheila Castilho, João Lucas Cavalheiro Camargo, Miguel Menezes, Andy Way. 566-577 [doi]
• Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with AdaptersAsa Cooper Stickland, Alexandre Berard, Vassilina Nikoulina. 578-598 [doi]
• Translation Transformers Rediscover Inherent Data DomainsMaksym Del, Elizaveta Korotkova, Mark Fishel. 599-613 [doi]
• Improving Machine Translation of Rare and Unseen Word SensesViktor Hangya, Qianchu Liu, Dario Stojanovski, Alexander Fraser 0001, Anna Korhonen. 614-624 [doi]
• Pushing the Right Buttons: Adversarial Evaluation of Quality EstimationDiptesh Kanojia, Marina Fomicheva, Tharindu Ranasinghe, Frédéric Blain, Constantin Orasan, Lucia Specia. 625-638 [doi]
• Findings of the WMT 2021 Shared Task on Efficient TranslationKenneth Heafield, Qianqian Zhu, Roman Grundkiewicz. 639-651 [doi]
• Findings of the WMT Shared Task on Machine Translation Using TerminologiesMd Mahfuz Ibn Alam, Ivana Kvapilíková, Antonios Anastasopoulos, Laurent Besacier, Georgiana Dinu, Marcello Federico, Matthias Gallé, Kweon Woo Jung, Philipp Koehn, Vassilina Nikoulina. 652-663 [doi]
• Findings of the WMT 2021 Biomedical Translation Shared Task: Summaries of Animal Experiments as New Test SetLana Yeganova, Dina Wiemann, Mariana L. Neves, Federica Vezzani, Amy Siu, Inigo Jauregi Unanue, Maite Oronoz, Nancy Mah, Aurélie Névéol, David Martínez 0001, Rachel Bawden, Giorgio Maria Di Nunzio, Roland Roller, Philippe Thomas 0002, Cristian Grozea, Olatz Perez-de-Viñaspre, Maika Vicente Navarro, Antonio Jimeno-Yepes. 664-683 [doi]
• Findings of the WMT 2021 Shared Task on Quality EstimationLucia Specia, Frédéric Blain, Marina Fomicheva, Chrysoula Zerva, Zhenhao Li, Vishrav Chaudhary, André F. T. Martins. 684-725 [doi]
• Findings of the WMT 2021 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MTJindrich Libovický, Alexander Fraser 0001. 726-732 [doi]
• Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News DomainMarkus Freitag, Ricardo Rei, Nitika Mathur, Chi-kiu Lo, Craig Stewart, George F. Foster, Alon Lavie, Ondrej Bojar. 733-774 [doi]
• Efficient Machine Translation with Model Pruning and QuantizationMaximiliana Behnke, Nikolay Bogoychev, Alham Fikri Aji, Kenneth Heafield, Graeme Nail, Qianqian Zhu, Svetlana Tchistiakova, Jelmer van der Linde, Pinzhen Chen, Sidharth Kashyap, Roman Grundkiewicz. 775-780 [doi]
• HW-TSC's Participation in the WMT 2021 Efficiency Shared TaskHengchao Shang, Ting Hu, Daimeng Wei, Zongyao Li, Jianfei Feng, Zhengzhe Yu, Jiaxin Guo, Shaojun Li, Lizhi Lei, Shimin Tao, Hao Yang, Jun Yao, Ying Qin. 781-786 [doi]
• The NiuTrans System for the WMT 2021 Efficiency TaskChenglong Wang, Chi Hu, Yongyu Mu, Zhongxiang Yan, Siming Wu, Yimin Hu, Hang Cao, Bei Li, Ye-Lin, Tong Xiao, Jingbo Zhu. 787-794 [doi]
• TenTrans High-Performance Inference Toolkit for WMT2021 Efficiency TaskKaixin Wu, Bojie Hu, Qi Ju. 795-798 [doi]
• Lingua Custodia's Participation at the WMT 2021 Machine Translation Using Terminologies Shared TaskMelissa Ailem, Jingshu Liu, Raheel Qader. 799-803 [doi]
• Kakao Enterprise's WMT21 Machine Translation Using Terminologies Task SubmissionYunju Bak, Jimin Sun, Jay Kim, Sungwon Lyu, Changmin Lee. 804-812 [doi]
• The SPECTRANS System Description for the WMT21 Terminology TaskNicolas Ballier, Dahn Cho, Bilal Faye, Zong-You Ke, Hanna Martikainen, Mojca Pecman, Guillaume Wisniewski, Jean-Baptiste Yunès, Lichao Zhou, Maria Zimina-Poirot. 813-820 [doi]
• Dynamic Terminology Integration for COVID-19 and Other Emerging DomainsToms Bergmanis, Marcis Pinnis. 821-827 [doi]
• CUNI Systems for WMT21: Terminology Translation Shared TaskJosef Jon, Michal Novák, João Paulo Aires, Dusan Varis, Ondrej Bojar. 828-834 [doi]
• PROMT Systems for WMT21 Terminology Translation TaskAlexander Molchanov, Vladislav Kovalenko, Fedor Bykov. 835-841 [doi]
• SYSTRAN @ WMT 2021: Terminology TaskMinh Quang Pham, Josep Maria Crego, Antoine Senellart, Dan Berrebbi, Jean Senellart. 842-850 [doi]
• TermMind: Alibaba's WMT21 Machine Translation Using Terminologies Task SubmissionKe Wang, Shuqin Gu, Boxing Chen, Yu Zhao, Weihua Luo, Yuqi Zhang. 851-856 [doi]
• FJWU Participation for the WMT21 Biomedical Translation TaskSumbal Naz, Sadaf Abdul-Rauf, Sami ul Haq. 857-862 [doi]
• High Frequent In-domain Words Segmentation and Forward Translation for the WMT21 Biomedical TaskBardia Rafieian, Marta Ruiz Costa-Jussà. 863-867 [doi]
• Huawei AARC's Submissions to the WMT21 Biomedical Translation Task: Domain Adaption from a Practical PerspectiveWeixuan Wang, Wei Peng, Xupeng Meng, Qun Liu. 868-873 [doi]
• Tencent AI Lab Machine Translation Systems for the WMT21 Biomedical Translation TaskXing Wang 0007, Zhaopeng Tu, Shuming Shi. 874-878 [doi]
• HW-TSC's Submissions to the WMT21 Biomedical Translation TaskHao Yang, Zhanglin Wu, Zhengzhe Yu, Xiaoyu Chen, Daimeng Wei, Zongyao Li, Hengchao Shang, Minghan Wang, Jiaxin Guo, Lizhi Lei, Chuanfei Xu, Min Zhang, Ying Qin. 879-884 [doi]
• RTM Super Learner Results at Quality Estimation TaskErgun Biçici. 885-889 [doi]
• HW-TSC's Participation at WMT 2021 Quality Estimation Shared TaskYimeng Chen, Chang Su, Yingtao Zhang, Yuxia Wang, Xiang Geng, Hao Yang, Shimin Tao, Jiaxin Guo, Minghan Wang, Min Zhang, Yujia Liu, Shujian Huang. 890-896 [doi]
• Ensemble Fine-tuned mBERT for Translation Quality EstimationShaika Chowdhury, Naouel Baili, Brian Vannah. 897-903 [doi]
• The JHU-Microsoft Submission for WMT21 Quality Estimation Shared TaskShuoyang Ding, Marcin Junczys-Dowmunt, Matt Post, Christian Federmann, Philipp Koehn. 904-910 [doi]
• TUDa at WMT21: Sentence-Level Direct Assessment with AdaptersGregor Geigle, Jonas Stadtmüller, Wei Zhao 0033, Jonas Pfeiffer, Steffen Eger. 911-919 [doi]
• Quality Estimation Using Dual Encoders with Transfer LearningDam Heo, WonKee Lee, Baikjin Jung, Jong-Hyeok Lee. 920-927 [doi]
• ICL's Submission to the WMT21 Critical Error Detection Shared TaskGenze Jiang, Zhenhao Li, Lucia Specia. 928-934 [doi]
• Papago's Submission for the WMT21 Quality Estimation Shared TaskSeunghyun Lim, Hantae Kim, Hyunjoong Kim. 935-940 [doi]
• NICT Kyoto Submission for the WMT'21 Quality Estimation Task: Multimetric Multilingual Pretraining for Critical Error DetectionRaphael Rubino, Atsushi Fujita, Benjamin Marie. 941-947 [doi]
• QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared TaskJiayi Wang, Ke Wang, Boxing Chen, Yu Zhao, Weihua Luo, Yuqi Zhang. 948-954 [doi]
• Direct Exploitation of Attention Weights for Translation Quality EstimationLisa Yankovskaya, Mark Fishel. 955-960 [doi]
• IST-Unbabel 2021 Submission for the Quality Estimation Shared TaskChrysoula Zerva, Daan van Stigt, Ricardo Rei, Ana C. Farinha, Pedro Ramos, José G. C. de Souza, Taisiya Glushkova, Miguel Vera, Fabio Kepler, André F. T. Martins. 961-972 [doi]
• The IICT-Yverdon System for the WMT 2021 Unsupervised MT and Very Low Resource Supervised MT TaskÀlex R. Atrio, Gabriel Luthier, Axel Fahy, Giorgos Vernikos, Andrei Popescu-Belis, Ljiljana Dolamic. 973-981 [doi]
• Unsupervised Translation of German-Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource LanguageLukas Edman, Ahmet Üstün, Antonio Toral, Gertjan van Noord. 982-988 [doi]
• The LMU Munich Systems for the WMT21 Unsupervised and Very Low-Resource Translation TaskJindrich Libovický, Alexander Fraser 0001. 989-994 [doi]
• Language Model Pretraining and Transfer Learning for Very Low Resource LanguagesJyotsana Khatri, Rudra Murthy, Pushpak Bhattacharyya. 995-998 [doi]
• NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021Rebecca Knowles, Samuel Larkin. 999-1008 [doi]
• NoahNMT at WMT 2021: Dual Transfer for Very Low Resource Supervised Machine TranslationMeng Zhang, Minghao Wu, Pengfei Li, Liangyou Li, Qun Liu. 1009-1013 [doi]
• cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSELifeng Han, Irina Sorokina, Gleb Erofeev, Serge Gladkoff. 1014-1023 [doi]
• MTEQA at WMT21 Metrics Shared TaskMateusz Krubinski, Erfan Ghadery, Marie-Francine Moens, Pavel Pecina. 1024-1029 [doi]
• Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared TaskRicardo Rei, Ana C. Farinha, Chrysoula Zerva, Daan van Stigt, Craig Stewart, Pedro Ramos, Taisiya Glushkova, André F. T. Martins, Alon Lavie. 1030-1040 [doi]
• Regressive Ensemble for Machine Translation Quality EvaluationMichal Stefánik, Vít Novotný, Petr Sojka. 1041-1048 [doi]
• Multilingual Machine Translation Evaluation Metrics Fine-tuned on Pseudo-Negative Examples for WMT 2021 Metrics TaskKosuke Takahashi, Yoichi Ishibashi, Katsuhito Sudoh, Satoshi Nakamura 0001. 1049-1052 [doi]
• RoBLEURT Submission for WMT2021 Metrics TaskYu Wan 0004, Dayiheng Liu, Baosong Yang, Tianchi Bi, Haibo Zhang, Boxing Chen, Weihua Luo, Derek F. Wong, Lidia S. Chao. 1053-1058 [doi]
• Linguistic Evaluation for the 2021 State-of-the-art Machine Translation Systems for German to English and English to GermanVivien Macketanz, Eleftherios Avramidis, Shushen Manakhimova, Sebastian Möller 0001. 1059-1073 [doi]
• Pruning Neural Machine Translation for Speed Using Group LassoMaximiliana Behnke, Kenneth Heafield. 1074-1086 [doi]
• Phrase-level Active Learning for Neural Machine TranslationJunjie Hu 0001, Graham Neubig. 1087-1099 [doi]
• Learning Feature Weights using Reward Modeling for Denoising Parallel CorporaGaurav Kumar, Philipp Koehn, Sanjeev Khudanpur. 1100-1109 [doi]
• Monotonic Simultaneous Translation with Chunk-wise Reordering and RefinementHyoJung Han, Seokchan Ahn, Yoonjung Choi, Insoo Chung, Sangha Kim 0002, KyungHyun Cho. 1110-1123 [doi]
• Simultaneous Neural Machine Translation with Constituent Label PredictionYasumasa Kano, Katsuhito Sudoh, Satoshi Nakamura. 1124-1134 [doi]
• Contrastive Learning for Context-aware Neural Machine Translation Using Coreference InformationYongkeun Hwang, Hyeongu Yun, Kyomin Jung. 1135-1144 [doi]