Table of Contents

• Findings of the 2020 Conference on Machine Translation (WMT20)Loïc Barrault, Magdalena Biesialska, Ondrej Bojar, Marta R. Costa-Jussà, Christian Federmann, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Matthias Huck, Eric Joanis, Tom Kocmi, Philipp Koehn, Chi-kiu Lo, Nikola Ljubesic, Christof Monz, Makoto Morishita, Masaaki Nagata, Toshiaki Nakazawa, Santanu Pal, Matt Post, Marcos Zampieri. 1-55 [doi]
• Findings of the First Shared Task on Lifelong Learning Machine TranslationLoïc Barrault, Magdalena Biesialska, Marta R. Costa-Jussà, Fethi Bougares, Olivier Galibert. 56-64 [doi]
• Findings of the WMT 2020 Shared Task on Chat TranslationM. Amin Farajian, António V. Lopes, André F. T. Martins, Sameen Maruf, Gholamreza Haffari. 65-75 [doi]
• Findings of the WMT 2020 Shared Task on Machine Translation RobustnessLucia Specia, Zhenhao Li, Juan Pino, Vishrav Chaudhary, Francisco Guzmán, Graham Neubig, Nadir Durrani, Yonatan Belinkov, Philipp Koehn, Hassan Sajjad, Paul Michel, Xian Li. 76-91 [doi]
• The University of Edinburgh's English-Tamil and English-Inuktitut Submissions to the WMT20 News Translation TaskRachel Bawden, Alexandra Birch, Radina Dobreva, Arturo Oncevay, Antonio Valerio Miceli Barone, Philip Williams. 92-99 [doi]
• GTCOM Neural Machine Translation Systems for WMT20Chao Bei, Hao Zong, Qingming Liu, Conghu Yuan. 100-104 [doi]
• DiDi's Machine Translation System for WMT2020Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, Kevin Knight. 105-112 [doi]
• Facebook AI's WMT20 News Translation Task SubmissionPeng-Jen Chen, Ann Lee, Changhan Wang, Naman Goyal, Angela Fan, Mary Williamson, Jiatao Gu. 113-125 [doi]
• Linguistically Motivated Subwords for English-Tamil Translation: University of Groningen's Submission to WMT-2020Prajit Dhar, Arianna Bisazza, Gertjan van Noord. 126-133 [doi]
• The TALP-UPC System Description for WMT20 News Translation Task: Multilingual Adaptation for Low Resource MTCarlos Escolano, Marta R. Costa-Jussà, José A. R. Fonollosa. 134-138 [doi]
• An Iterative Knowledge Transfer NMT System for WMT20 News Translation TaskJiwan Kim, Soyoon Park, Sangha Kim 0002, Yoonjung Choi. 139-144 [doi]
• Tohoku-AIP-NTT at WMT 2020 News Translation TaskShun Kiyono, Takumi Ito, Ryuto Konno, Makoto Morishita, Jun Suzuki. 145-155 [doi]
• NRC Systems for the 2020 Inuktitut-English News Translation TaskRebecca Knowles, Darlene A. Stewart, Samuel Larkin, Patrick Littell. 156-170 [doi]
• CUNI Submission for the Inuktitut Language in WMT News 2020Tom Kocmi. 171-174 [doi]
• Tilde at WMT 2020: News Task SystemsRihards Krislauks, Marcis Pinnis. 175-180 [doi]
• Samsung R&D Institute Poland submission to WMT20 News Translation TaskMateusz Krubi'nski, Marcin Chochowski, Bartlomiej Boczek, Mikolaj Koszowski, Adam Dobrowolski, Marcin Szymanski, Pawel Przybysz. 181-190 [doi]
• Speed-optimized, Compact Student Models that Distill Knowledge from a Larger Teacher Model: the UEDIN-CUNI Submission to the WMT 2020 News Translation TaskUlrich Germann, Roman Grundkiewicz, Martin Popel, Radina Dobreva, Nikolay Bogoychev, Kenneth Heafield. 191-196 [doi]
• The University of Edinburgh's submission to the German-to-English and English-to-German Tracks in the WMT 2020 News Translation and Zero-shot Translation Robustness TasksUlrich Germann. 197-201 [doi]
• Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20Vikrant Goyal, Anoop Kunchukuttan, Rahul Kejriwal, Siddharth Jain, Amit Bhagwat. 202-206 [doi]
• The AFRL WMT20 News Translation SystemsJeremy Gwinnup, Tim Anderson. 207-212 [doi]
• The Ubiqus English-Inuktitut System for WMT20François Hernandez, Vincent Nguyen. 213-217 [doi]
• SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation TaskZuchao Li, Hai Zhao, Rui Wang 0015, Kehai Chen, Masao Utiyama, Eiichiro Sumita. 218-229 [doi]
• Combination of Neural Machine Translation Systems at WMT20Benjamin Marie, Raphael Rubino, Atsushi Fujita. 230-238 [doi]
• WeChat Neural Machine Translation Systems for WMT20Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li 0030, Ming Chen, Jie Zhou 0016, SiFan Liu, Hao Zhou. 239-247 [doi]
• PROMT Systems for WMT 2020 Shared News Translation TaskAlexander Molchanov. 248-253 [doi]
• eTranslation's Submissions to the WMT 2020 News Translation TaskCsaba Oravecz, Katina Bontcheva, László Tihanyi, David Kolovratnik, Bhavani Bhaskar, Adrien Lardilleux, Szymon Klocek, Andreas Eisele 0001. 254-261 [doi]
• The ADAPT System Description for the WMT20 News Translation TaskVenkatesh Parthasarathy, Akshai Ramesh, Rejwanul Haque, Andy Way. 262-268 [doi]
• CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level TrainingMartin Popel. 269-273 [doi]
• Machine Translation for English-Inuktitut with Segmentation, Data Acquisition and Pre-TrainingChristian Roest, Lukas Edman, Gosse Minnema, Kevin Kelly, Jennifer Spenader, Antonio Toral. 274-281 [doi]
• OPPO's Machine Translation Systems for WMT20Tingxun Shi, Shiyu Zhao, Xiaopu Li, Xiaoxue Wang, Qian Zhang, Di Ai, Dawei Dang, Zhengshan Xue, Jie Hao. 282-292 [doi]
• HW-TSC's Participation in the WMT 2020 News Translation Shared TaskDaimeng Wei, Hengchao Shang, Zhanglin Wu, Zhengzhe Yu, Liangyou Li, Jiaxin Guo, Minghan Wang, Hao Yang, Lizhi Lei, Ying Qin, Shiliang Sun. 293-299 [doi]
• IIE's Neural Machine Translation Systems for WMT20Xiangpeng Wei, Ping Guo, Yunpeng Li, Xingsheng Zhang, Luxi Xing, Yue Hu 0002. 300-304 [doi]
• The Volctrans Machine Translation System for WMT20Liwei Wu, Xiao Pan, Zehui Lin, Yaoming Zhu, Mingxuan Wang, Lei Li 0005. 305-312 [doi]
• Tencent Neural Machine Translation Systems for the WMT20 News Translation TaskShuangzhi Wu, Xing Wang 0007, Longyue Wang, Fangxu Liu, Jun Xie, Zhaopeng Tu, Shuming Shi 0001, Mu Li 0001. 313-319 [doi]
• Russian-English Bidirectional Machine Translation SystemAriel Xv. 320-325 [doi]
• The DeepMind Chinese-English Document Translation System at WMT2020Lei Yu, Laurent Sartran, Po-Sen Huang, Wojciech Stokowiec, Domenic Donato, Srivatsan Srinivasan, Alek Andreev, Wang Ling, Sona Mokra, Agustin Dal Lago, Yotam Doron, Susannah Young, Phil Blunsom, Chris Dyer. 326-337 [doi]
• The NiuTrans Machine Translation Systems for WMT20Yuhao Zhang, Ziyang Wang, Runzhe Cao, Binghao Wei, Weiqiao Shan, Shuhan Zhou, Abudurexiti Reheman, Tao Zhou, Xin Zeng, Laohu Wang, Yongyu Mu, Jingnan Zhang, Xiaoqian Liu, Xuanjun Zhou, Yinqiao Li, Bei Li, Tong Xiao, Jingbo Zhu. 338-345 [doi]
• Fine-grained linguistic evaluation for state-of-the-art Machine TranslationEleftherios Avramidis, Vivien Macketanz, Ursula Strohriegel, Aljoscha Burchardt, Sebastian Möller 0001. 346-356 [doi]
• Gender Coreference and Bias Evaluation at WMT 2020Tom Kocmi, Tomasz Limisiewicz, Gabriel Stanovsky. 357-364 [doi]
• The MUCOW word sense disambiguation test suite at WMT 2020Yves Scherrer, Alessandro Raganato, Jörg Tiedemann. 365-370 [doi]
• WMT20 Document-Level Markable Error ExplorationVilém Zouhar, Tereza Vojtechová, Ondrej Bojar. 371-380 [doi]
• Translating Similar Languages: Role of Mutual Intelligibility in Multilingual TransformersIfe Adebara, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed. 381-386 [doi]
• Attention Transformer Model for Translation of Similar LanguagesFarhan Dhanani, Muhammad Rafi. 387-392 [doi]
• Transformer-based Neural Machine Translation System for Hindi - Marathi: WMT20 Shared TaskAmit Kumar, Rupjyoti Baruah, Rajesh Kumar Mundotiya, Anil Kumar Singh. 393-395 [doi]
• Hindi-Marathi Cross Lingual ModelSahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Partha Pakray, Sivaji Bandyopadhyay. 396-401 [doi]
• Transfer Learning for Related Languages: Submissions to the WMT20 Similar Language Translation TaskLovish Madaan, Soumya Sharma, Parag Singla. 402-408 [doi]
• The IPN-CIC team system submission for the WMT 2020 similar language taskLuis A Menéndez-Salazar, Grigori Sidorov, Marta R. Costa-Jussà. 409-413 [doi]
• NMT based Similar Language Translation for Hindi - MarathiVandan Mujadia, Dipti Misra Sharma. 414-417 [doi]
• NUIG-Panlingua-KMI Hindi-Marathi MT Systems for Similar Language Translation Task @ WMT 2020Atul kr. Ojha, Priya Rani, Akanksha Bansal, Bharathi Raja Chakravarthi, Ritesh Kumar, John P. McCrae. 418-423 [doi]
• Neural Machine Translation for Similar Languages: The Case of Indo-Aryan LanguagesSantanu Pal, Marcos Zampieri. 424-429 [doi]
• Neural Machine Translation between similar South-Slavic languagesMaja Popovic, Alberto Poncelas. 430-436 [doi]
• Infosys Machine Translation System for WMT20 Similar Language Translation TaskKamalkumar Rathinasamy, Amanpreet Singh, Balaguru Sivasambagupta, Prajna Prasad Neerchal, Vani Sivasankaran. 437-441 [doi]
• Document Level NMT of Low-Resource Languages with BacktranslationSami ul Haq, Sadaf Abdul-Rauf, Arsalan Shaukat, Abdullah Saeed. 442-446 [doi]
• Multilingual Neural Machine Translation: Case-study for Catalan, Spanish and Portuguese Romance LanguagesPere Vergés Boncompte, Marta R. Costa-Jussà. 447-450 [doi]
• A3-108 Machine Translation System for Similar Language Translation Shared Task 2020Saumitra Yadav, Manish Shrivastava 0001. 451-455 [doi]
• The University of Maryland's Submissions to the WMT20 Chat Translation Task: Searching for More Data to Adapt Discourse-Aware Neural Machine TranslationCalvin Bao, Yow-Ting Shiue, Chujun Song, Jie Li, Marine Carpuat. 456-461 [doi]
• Naver Labs Europe's Participation in the Robustness, Chat, and Biomedical Tasks at WMT 2020Alexandre Berard, Ioan Calapodescu, Vassilina Nikoulina, Jerin Philip. 462-472 [doi]
• The University of Edinburgh-Uppsala University's Submission to the WMT 2020 Chat Translation TaskNikita Moghe, Christian Hardmeier, Rachel Bawden. 473-478 [doi]
• JUST System for WMT20 Chat Translation TaskRoweida Mohammed, Mahmoud Al-Ayyoub, Malak Abdullah. 479-482 [doi]
• Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation TaskLongyue Wang, Zhaopeng Tu, Xing Wang 0007, Li Ding, Liang Ding, Shuming Shi 0001. 483-491 [doi]
• Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation ModelsRaj Dabre, Atsushi Fujita. 492-502 [doi]
• Fast Interleaved Bidirectional Sequence GenerationBiao Zhang, Ivan Titov, Rico Sennrich. 503-515 [doi]
• Priming Neural Machine TranslationMinh Quang Pham, Jitao Xu 0001, Josep Maria Crego, François Yvon, Jean Senellart. 516-527 [doi]
• Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine TranslationAnnette Rios, Mathias Müller 0002, Rico Sennrich. 528-537 [doi]
• Look It Up: Bilingual and Monolingual Dictionaries Improve Neural Machine TranslationXing Jie Zhong, David Chiang 0001. 538-549 [doi]
• Complete Multilingual Neural Machine TranslationMarkus Freitag, Orhan Firat. 550-560 [doi]
• Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic DiversityBrian Thompson, Matt Post. 561-570 [doi]
• When Does Unsupervised Machine Translation Work?Kelly Marchisio, Kevin Duh, Philipp Koehn. 571-583 [doi]
• Language Models not just for Pre-training: Fast Online Neural Noisy Channel ModelingShruti Bhosale, Kyra Yee, Sergey Edunov, Michael Auli. 584-593 [doi]
• Towards Multimodal Simultaneous Neural Machine TranslationAizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa, Mamoru Komachi. 594-603 [doi]
• Diving Deep into Context-Aware Neural Machine TranslationJingjing Huo, Christian Herold, Yingbo Gao, Leonard Dahlmann, Shahram Khadivi, Hermann Ney. 604-616 [doi]
• A Study of Residual Adapters for Multi-Domain Neural Machine TranslationMinh Quang Pham, Josep Maria Crego, François Yvon, Jean Senellart. 617-628 [doi]
• Mitigating Gender Bias in Machine Translation with Target Gender AnnotationsArturs Stafanovics, Marcis Pinnis, Toms Bergmanis. 629-638 [doi]
• Document-aligned Japanese-English Conversation Parallel CorpusMatiss Rikters, Ryokan Ri, Tong Li, Toshiaki Nakazawa. 639-645 [doi]
• Findings of the WMT 2020 Shared Task on Automatic Post-EditingRajen Chatterjee, Markus Freitag, Matteo Negri, Marco Turchi. 646-659 [doi]
• Findings of the WMT 2020 Biomedical Translation Shared Task: Basque, Italian and Russian as New Additional LanguagesRachel Bawden, Giorgio Maria Di Nunzio, Cristian Grozea, Inigo Jauregi Unanue, Antonio Jimeno-Yepes, Nancy Mah, David Martinez, Aurélie Névéol, Mariana L. Neves, Maite Oronoz, Olatz Perez-de-Viñaspre, Massimo Piccardi, Roland Roller, Amy Siu, Philippe Thomas 0002, Federica Vezzani, Maika Vicente Navarro, Dina Wiemann, Lana Yeganova. 660-687 [doi]
• Results of the WMT20 Metrics Shared TaskNitika Mathur, Johnny Wei, Markus Freitag, Qingsong Ma, Ondrej Bojar. 688-725 [doi]
• Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and AlignmentPhilipp Koehn, Vishrav Chaudhary, Ahmed El-Kishky, Naman Goyal, Peng-Jen Chen, Francisco Guzmán. 726-742 [doi]
• Findings of the WMT 2020 Shared Task on Quality EstimationLucia Specia, Frédéric Blain, Marina Fomicheva, Erick Rocha Fonseca, Vishrav Chaudhary, Francisco Guzmán, André F. T. Martins. 743-764 [doi]
• Findings of the WMT 2020 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MTAlexander Fraser 0001. 765-771 [doi]
• Cross-Lingual Transformers for Neural Automatic Post-EditingDongjun Lee. 772-776 [doi]
• POSTECH-ETRI's Submission to the WMT2020 APE Shared Task: Automatic Post-Editing with Cross-lingual Language ModelJihyung Lee, WonKee Lee, Jaehun Shin, Baikjin Jung, Young Kil Kim, Jong-Hyeok Lee. 777-782 [doi]
• Noising Scheme for Data Augmentation in Automatic Post-EditingWonKee Lee, Jaehun Shin, Baikjin Jung, Jihyung Lee, Jong-Hyeok Lee. 783-788 [doi]
• Alibaba's Submission for the WMT 2020 APE Shared Task: Improving Automatic Post-Editing with Pre-trained Conditional Cross-Lingual BERTJiayi Wang, Ke Wang, Kai Fan, Yuqi Zhang, Jun Lu, Xin Ge, Yangbin Shi, Yu Zhao. 789-796 [doi]
• HW-TSC's Participation at WMT 2020 Automatic Post Editing Shared TaskHao Yang, Minghan Wang, Daimeng Wei, Hengchao Shang, Jiaxin Guo, Zongyao Li, Lizhi Lei, Ying Qin, Shimin Tao, Shiliang Sun, Yimeng Chen. 797-802 [doi]
• LIMSI @ WMT 2020Sadaf Abdul-Rauf, José Carlos Rosales Núñez, Minh Quang Pham, François Yvon. 803-812 [doi]
• Elhuyar submission to the Biomedical Translation Task 2020 on terminology and abstracts translationAnder Corral, Xabier Saralegi. 813-819 [doi]
• YerevaNN's Systems for WMT20 Biomedical Translation Task: The Effect of Fixing Misaligned Sentence PairsKaren Hambardzumyan, Hovhannes Tamoyan, Hrant Khachatrian. 820-825 [doi]
• Pretrained Language Models and Backtranslation for English-Basque Biomedical Neural Machine TranslationInigo Jauregi Unanue, Massimo Piccardi. 826-832 [doi]
• Lite Training Strategies for Portuguese-English and English-Portuguese TranslationAlexandre Lopes, Rodrigo Nogueira, Roberto de Alencar Lotufo, Hélio Pedrini. 833-840 [doi]
• The ADAPT's Submissions to the WMT20 Biomedical Translation TaskPrashanth Nayak, Rejwanul Haque, Andy Way. 841-848 [doi]
• FJWU participation for the WMT20 Biomedical Translation TaskSumbal Naz, Sadaf Abdul-Rauf, Noor-e-Hira, Sami ul Haq. 849-856 [doi]
• Huawei's Submissions to the WMT20 Biomedical Translation TaskWei Peng, Jianfeng Liu, Minghan Wang, Liangyou Li, Xupeng Meng, Hao Yang, Qun Liu. 857-861 [doi]
• Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation TaskDanielle Saunders, Bill Byrne. 862-869 [doi]
• UoS Participation in the WMT20 Translation of Biomedical AbstractsFelipe Soares, Delton Vaz. 870-874 [doi]
• Ixamed's submission description for WMT20 Biomedical shared task: benefits and limitations of using terminologies for domain adaptationXabier Soto, Olatz Perez-de-Viñaspre, Gorka Labaka, Maite Oronoz. 875-880 [doi]
• Tencent AI Lab Machine Translation Systems for the WMT20 Biomedical Translation TaskXing Wang 0007, Zhaopeng Tu, Longyue Wang, Shuming Shi 0001. 881-886 [doi]
• ParBLEU: Augmenting Metrics with Automatic Paraphrases for the WMT'20 Metrics Shared TaskRachel Bawden, Biao Zhang, Andre Tättar, Matt Post. 887-894 [doi]
• Extended Study on Using Pretrained Language Models and YiSi-1 for Machine Translation EvaluationChi-kiu Lo. 895-902 [doi]
• Machine Translation Reference-less Evaluation using YiSi-2 with Bilingual Mappings of Massive Multilingual Language ModelChi-kiu Lo, Samuel Larkin. 903-910 [doi]
• Unbabel's Participation in the WMT20 Metrics Shared TaskRicardo Rei, Craig Stewart, Ana C. Farinha, Alon Lavie. 911-920 [doi]
• Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared TaskThibault Sellam, Amy Pu, Hyung Won Chung, Sebastian Gehrmann, Qijun Tan, Markus Freitag, Dipanjan Das 0001, Ankur P. Parikh. 921-927 [doi]
• Towards a Better Evaluation of Metrics for Machine TranslationPeter Stanchev, Weiyue Wang, Hermann Ney. 928-933 [doi]
• Incorporate Semantic Structures into Machine Translation Evaluation via UCCAJin Xu, Yinuo Guo, Junfeng Hu. 934-939 [doi]
• Filtering Noisy Parallel Corpus using Transformers with Proxy Task LearningHaluk Açarçiçek, Talha Çolakoglu, Pinar Ece Aktan Hatipoglu, Chong Hsuan Huang, Wei Peng. 940-946 [doi]
• Score Combination for Improved Parallel Corpus Filtering for Low Resource ConditionsMuhammad N. ElNokrashy, Amr Hendy, Mohamed Abdelghaffar, Mohamed Afify, Ahmed Y. Tawfik, Hany Hassan Awadalla. 947-951 [doi]
• Bicleaner at WMT 2020: Universitat d'Alacant-Prompsit's submission to the parallel corpus filtering shared taskMiquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Jaume Zaragoza-Bernabeu, Felipe Sánchez-Martínez. 952-958 [doi]
• An exploratory approach to the Parallel Corpus Filtering shared task WMT20Ankur Kejriwal, Philipp Koehn. 959-965 [doi]
• Dual Conditional Cross Entropy Scores and LASER Similarity Scores for the WMT20 Parallel Corpus Filtering Shared TaskFelicia Koerner, Philipp Koehn. 966-971 [doi]
• Improving Parallel Data Identification using Iteratively Refined Sentence Alignments and Bilingual Mappings of Pre-trained Language ModelsChi-kiu Lo, Eric Joanis. 972-978 [doi]
• Alibaba Submission to the WMT20 Parallel Corpus Filtering TaskJun Lu, Xin Ge, Yangbin Shi, Yuqi Zhang. 979-984 [doi]
• Volctrans Parallel Corpus Filtering System for WMT 2020Runxin Xu, Zhuo Zhi, Jun Cao, Mingxuan Wang, Lei Li 0005. 985-990 [doi]
• PATQUEST: Papago Translation Quality EstimationYujin Baek, Zae Myung Kim, Jihyung Moon, Hyunjoong Kim, Eunjeong L. Park. 991-998 [doi]
• RTM Ensemble Learning Results at Quality Estimation TaskErgun Biçici. 999-1003 [doi]
• NJU's submission to the WMT20 QE Shared TaskQu Cui, Xiang Geng, Shujian Huang, Jiajun Chen. 1004-1009 [doi]
• BERGAMOT-LATTE Submissions for the WMT20 Quality Estimation Shared TaskMarina Fomicheva, Shuo Sun, Lisa Yankovskaya, Frédéric Blain, Vishrav Chaudhary, Mark Fishel, Francisco Guzmán, Lucia Specia. 1010-1017 [doi]
• The NiuTrans System for the WMT20 Quality Estimation Shared TaskChi Hu, Hui Liu, Kai-Feng, Chen Xu, Nuo Xu, Zefan Zhou, Shiqin Yan, Yingfeng Luo, Chenglong Wang, Xia Meng, Tong Xiao, Jingbo Zhu. 1018-1023 [doi]
• Two-Phase Cross-Lingual Language Model Fine-Tuning for Machine Translation Quality EstimationDongjun Lee. 1024-1028 [doi]
• IST-Unbabel Participation in the WMT20 Quality Estimation Shared TaskJoão Moura 0005, Miguel Vera, Daan van Stigt, Fabio Kepler, André F. T. Martins. 1029-1036 [doi]
• TMUOU Submission for WMT20 Quality Estimation Shared TaskAkifumi Nakamachi, Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi. 1037-1041 [doi]
• NICT Kyoto Submission for the WMT'20 Quality Estimation Task: Intermediate Training for Domain and Task AdaptationRaphael Rubino. 1042-1048 [doi]
• TransQuest at WMT2020: Sentence-Level Direct AssessmentTharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov. 1049-1055 [doi]
• HW-TSC's Participation at WMT 2020 Quality Estimation Shared TaskMinghan Wang, Hao Yang, Hengchao Shang, Daimeng Wei, Jiaxin Guo, Lizhi Lei, Ying Qin, Shimin Tao, Shiliang Sun, Yimeng Chen, Liangyou Li. 1056-1061 [doi]
• Tencent submission for WMT20 Quality Estimation Shared TaskHaijiang Wu, Zixuan Wang, Qingsong Ma, Xinjie Wen, Ruichen Wang, Xiaoli Wang, Yulin Zhang, Zhipeng Yao, Siyao Peng. 1062-1067 [doi]
• Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual PatternsLei Zhou, Liang Ding, Koichi Takeda. 1068-1074 [doi]
• NLPRL System for Very Low Resource Supervised Machine TranslationRupjyoti Baruah, Rajesh Kumar Mundotiya, Amit Kumar, Anil Kumar Singh. 1075-1078 [doi]
• Low-Resource Translation as Language ModelingTucker Berckmann, Berkan Hiziroglu. 1079-1083 [doi]
• The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared TaskAlexandra Chronopoulou, Dario Stojanovski, Viktor Hangya, Alexander Fraser 0001. 1084-1091 [doi]
• UdS-DFKI@WMT20: Unsupervised MT and Very Low Resource Supervised MT for German-Upper SorbianSourav Dutta, Jesujoba Alabi, Saptarashmi Bandyopadhyay, Dana Ruiter, Josef van Genabith. 1092-1098 [doi]
• Data Selection for Unsupervised Translation of German-Upper SorbianLukas Edman, Antonio Toral, Gertjan van Noord. 1099-1103 [doi]
• The LMU Munich System for the WMT20 Very Low Resource Supervised MT TaskJindrich Libovický, Viktor Hangya, Helmut Schmid, Alexander Fraser 0001. 1104-1111 [doi]
• NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical ModificationsRebecca Knowles, Samuel Larkin, Darlene A. Stewart, Patrick Littell. 1112-1122 [doi]
• CUNI Systems for the Unsupervised and Very Low Resource Translation Task in WMT20Ivana Kvapilíková, Tom Kocmi, Ondrej Bojar. 1123-1128 [doi]
• The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasksYves Scherrer, Stig-Arne Grönroos, Sami Virpioja. 1129-1138 [doi]
• The NITS-CNLP System for the Unsupervised MT Task at WMT 2020Salam Michael Singh, Thoudam Doren Singh, Sivaji Bandyopadhyay. 1139-1143 [doi]
• Adobe AMPS's Submission for Very Low Resource Supervised Translation Task at WMT20Keshaw Singh. 1144-1149 [doi]
• On the Same Page? Comparing Inter-Annotator Agreement in Sentence and Document Level Human Machine Translation EvaluationSheila Castilho. 1150-1159 [doi]
• How Should Markup Tags Be Translated?Greg Hanneman, Georgiana Dinu. 1160-1173 [doi]
• The Tatoeba Translation Challenge - Realistic Data Sets for Low Resource and Multilingual MTJörg Tiedemann. 1174-1182 [doi]
• Human-Paraphrased References Improve Neural Machine TranslationMarkus Freitag, George F. Foster, David Grangier, Colin Cherry. 1183-1192 [doi]
• Incorporating Terminology Constraints in Automatic Post-EditingDavid Wan, Chris Kedzie, Faisal Ladhak, Marine Carpuat, Kathleen R. McKeown. 1193-1204 [doi]