Table of Contents

• Findings of the 2022 Conference on Machine Translation (WMT22)Tom Kocmi, Rachel Bawden, Ondrej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Thamme Gowda, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Rebecca Knowles, Philipp Koehn, Christof Monz, Makoto Morishita, Masaaki Nagata, Toshiaki Nakazawa, Michal Novák, Martin Popel, Maja Popovic. 1-45 [doi]
• Results of WMT22 Metrics Shared Task: Stop Using BLEU - Neural Metrics Are Better and More RobustMarkus Freitag, Ricardo Rei, Nitika Mathur, Chi-kiu Lo, Craig Stewart, Eleftherios Avramidis, Tom Kocmi, George F. Foster, Alon Lavie, André F. T. Martins. 46-68 [doi]
• Findings of the WMT 2022 Shared Task on Quality EstimationChrysoula Zerva, Frédéric Blain, Ricardo Rei, Piyawat Lertvittayakumjorn, José G. C. de Souza, Steffen Eger, Diptesh Kanojia, Duarte M. Alves, Constantin Orasan, Marina Fomicheva, André F. T. Martins, Lucia Specia. 69-99 [doi]
• Findings of the WMT 2022 Shared Task on Efficient TranslationKenneth Heafield, Biao Zhang, Graeme Nail, Jelmer van der Linde, Nikolay Bogoychev. 100-108 [doi]
• Findings of the WMT 2022 Shared Task on Automatic Post-EditingPushpak Bhattacharyya, Rajen Chatterjee, Markus Freitag, Diptesh Kanojia, Matteo Negri, Marco Turchi. 109-117 [doi]
• Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level MetricGiorgos Vernikos, Brian Thompson, Prashant Mathur, Marcello Federico. 118-128 [doi]
• Searching for a Higher Power in the Human Evaluation of MTJohnny Tian-Zheng Wei, Tom Kocmi, Christian Federmann. 129-139 [doi]
• Test Set Sampling Affects System Rankings: Expanded Human Evaluation of WMT20 English-Inuktitut SystemsRebecca Knowles, Chi-kiu Lo. 140-153 [doi]
• Continuous Rating as Reliable Human Evaluation of Simultaneous Speech TranslationDávid Javorský, Dominik Machácek, Ondrej Bojar. 154-164 [doi]
• Gender Bias Mitigation for NMT Involving Genderless LanguagesAnder Corral, Xabier Saralegi. 165-176 [doi]
• Exploring the Benefits and Limitations of Multilinguality for Non-autoregressive Machine TranslationSweta Agrawal, Julia Kreutzer, Colin Cherry. 177-187 [doi]
• Learning an Artificial Language for Knowledge-Sharing in Multilingual TranslationDanni Liu, Jan Niehues. 188-202 [doi]
• Don't Discard Fixed-Window Audio Segmentation in Speech-to-Text TranslationChantal Amrhein, Barry Haddow. 203-219 [doi]
• Additive Interventions Yield Robust Multi-Domain Machine Translation ModelsElijah Rippeth, Matt Post. 220-232 [doi]
• Inria-ALMAnaCH at WMT 2022: Does Transcription Help Cross-Script Machine Translation?Jesujoba Alabi, Lydia Nishimwe, Benjamin Müller, Camille Rey, Benoît Sagot, Rachel Bawden. 233-243 [doi]
• NAIST-NICT-TIT WMT22 General MT Task SubmissionHiroyuki Deguchi, Kenji Imamura, Masahiro Kaneko, Yuto Nishida, Yusuke Sakai 0010, Justin Vasselli, Huy-Hien Vu, Taro Watanabe. 244-250 [doi]
• Samsung R&D Institute Poland Participation in WMT 2022Adam Dobrowolski, Mateusz Klimaszewski, Adam Mysliwy, Marcin Szymanski, Jakub Kowalski, Kornelia Szypula, Pawel Przewlocki, Pawel Przybysz. 251-259 [doi]
• Tencent AI Lab - Shanghai Jiao Tong University Low-Resource Translation System for the WMT22 Translation TaskZhiwei He 0002, Xing Wang 0007, Zhaopeng Tu, Shuming Shi 0001, Rui Wang 0015. 260-267 [doi]
• Lan-Bridge MT's Participation in the WMT 2022 General Translation Shared TaskBing Han, Yangjian Wu, Gang Hu, Qiulin Chen. 268-274 [doi]
• Manifold's English-Chinese System at WMT22 General MT TaskChang Jin, Tingxun Shi, Zhengshan Xue, Xiaodong Lin. 275-279 [doi]
• CUNI-Bergamot Submission at WMT22 General Translation TaskJosef Jon, Martin Popel, Ondrej Bojar. 280-289 [doi]
• KYB General Machine Translation Systems for WMT22Shivam Kalkar, Yoko Matsuzaki, Ben Li. 290-294 [doi]
• Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine TranslationTsz Kin Lam, Eva Hasler, Felix Hieber. 295-309 [doi]
• The AISP-SJTU Translation System for WMT 2022Guangfeng Liu, Qinpei Zhu, Xingyu Chen, Renjie Feng, Jianxin Ren, Renshou Wu, Qingliang Miao, Rui Wang, Kai Yu 0004. 310-317 [doi]
• NT5 at WMT 2022 General Translation TaskMakoto Morishita, Keito Kudo, Yui Oka, Katsuki Chousa, Shun Kiyono, Sho Takase, Jun Suzuki. 318-325 [doi]
• Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine TranslationArtur Nowakowski, Gabriela Palka, Kamil Guttmann, Mikolaj Pokrywka. 326-334 [doi]
• Evaluating Corpus Cleanup Methods in the WMT'22 News Translation TaskMarilena Malli, George Tambouratzis. 335-341 [doi]
• PROMT Systems for WMT22 General Translation TaskAlexander Molchanov, Vladislav Kovalenko, Natalia Makhamalkina. 342-345 [doi]
• eTranslation's Submissions to the WMT22 General Machine Translation TaskCsaba Oravecz, Katina Bontcheva, David Kolovratník, Bogomil Kovachev, Christopher Scott. 346-351 [doi]
• CUNI Systems for the WMT 22 Czech-Ukrainian Translation TaskMartin Popel, Jindrich Libovický, Jindrich Helcl. 352-357 [doi]
• The ARC-NKUA Submission for the English-Ukrainian General Machine Translation Shared Task at WMT22Dimitrios Roussis, Vassilis Papavassiliou. 358-365 [doi]
• The NiuTrans Machine Translation Systems for WMT22Weiqiao Shan, Zhiquan Cao, Yuchen Han, Siming Wu, Yimin Hu, Jie Wang, Yi Zhang, Hou Baoyu, Hang Cao, Chenghao Gao, Xiaowen Liu, Tong Xiao, Anxiang Ma, Jingbo Zhu. 366-374 [doi]
• Teaching Unseen Low-resource Languages to Large Translation ModelsMaali Tars, Taido Purason, Andre Tättar. 375-380 [doi]
• Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation?Thuy-Trang Vu, Shahram Khadivi, Xuanli He, Dinh Phung 0001, Gholamreza Haffari. 381-396 [doi]
• DUTNLP Machine Translation System for WMT22 General MT TaskTing Wang, Huan Liu, Junpeng Liu, Degen Huang. 397-402 [doi]
• HW-TSC's Submissions to the WMT 2022 General Machine Translation Shared TaskDaimeng Wei, Zhiqiang Rao, Zhanglin Wu, Shaojun Li, Yuanchang Luo, Yuhao Xie, Xiaoyu Chen, Hengchao Shang, Zongyao Li, Zhengzhe Yu, Jinlong Yang, Miaomiao Ma, Lizhi Lei, Hao Yang 0006, Ying Qin. 403-410 [doi]
• Vega-MT: The JD Explore Academy Machine Translation System for WMT22Changtong Zan, Keqin Peng, Liang Ding 0006, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu 0001, Yibing Zhan, Dacheng Tao. 411-422 [doi]
• No Domain Left behindHui Zeng. 423-427 [doi]
• GTCOM Neural Machine Translation Systems for WMT22Hao Zong, Chao Bei. 428-431 [doi]
• Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language DirectionsVivien Macketanz, Shushen Manakhimova, Eleftherios Avramidis, Ekaterina Lapshinova-Koltunski, Sergei Bagdasarov, Sebastian Möller 0001. 432-449 [doi]
• Automated Evaluation Metric for Terminology Consistency in MTKirill Semenov, Ondrej Bojar. 450-457 [doi]
• Test Suite Evaluation: Morphological Challenges and Pronoun TranslationMarion Weller-Di Marco, Alexander Fraser 0001. 458-468 [doi]
• Robust MT Evaluation with Sentence-level Multilingual AugmentationDuarte M. Alves, Ricardo Rei, Ana C. Farinha, José G. C. de Souza, André F. T. Martins. 469-478 [doi]
• ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation MetricsChantal Amrhein, Nikita Moghe, Liane Guillou. 479-513 [doi]
• Linguistically Motivated Evaluation of Machine Translation Metrics Based on a Challenge SetEleftherios Avramidis, Vivien Macketanz. 514-529 [doi]
• Exploring Robustness of Machine Translation Metrics: A Study of Twenty-Two Automatic Metrics in the WMT22 Metric TaskXiaoyu Chen, Daimeng Wei, Hengchao Shang, Zongyao Li, Zhanglin Wu, Zhengzhe Yu, Ting Zhu, Mengli Zhu, Ning Xie, Lizhi Lei, Shimin Tao, Hao Yang 0006, Ying Qin. 530-540 [doi]
• MS-COMET: More and Better Human Judgements Improve Metric PerformanceTom Kocmi, Hitokazu Matsushita, Christian Federmann. 541-548 [doi]
• Partial Could Be Better than Whole. HW-TSC 2022 Submission for the Metrics Shared TaskYilun Liu, Xiaosong Qiao, Zhanglin Wu, Chang Su, Min Zhang 0005, Yanqing Zhao, Song Peng, Shimin Tao, Hao Yang 0006, Ying Qin, Jiaxin Guo, Minghan Wang, Yinglu Li, Peng Li, Xiaofeng Zhao. 549-557 [doi]
• Unsupervised Embedding-based Metric for MT Evaluation with Improved Human CorrelationAnanya Mukherjee, Manish Shrivastava 0001. 558-563 [doi]
• REUSE: REference-free UnSupervised Quality Estimation MetricAnanya Mukherjee, Manish Shrivastava 0001. 564-568 [doi]
• MaTESe: Machine Translation Evaluation as a Sequence Tagging ProblemStefano Perrella, Lorenzo Proietti, Alessandro Scirè, Niccolò Campolungo, Roberto Navigli. 569-577 [doi]
• COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared TaskRicardo Rei, José G. C. de Souza, Duarte M. Alves, Chrysoula Zerva, Ana C. Farinha, Taisiya Glushkova, Alon Lavie, Luísa Coheur, André F. T. Martins. 578-585 [doi]
• Alibaba-Translate China's Submission for WMT2022 Metrics Shared TaskYu Wan 0004, Keqin Bao, Dayiheng Liu, Baosong Yang, Derek F. Wong, Lidia S. Chao, Wenqiang Lei, Jun Xie. 586-592 [doi]
• Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation TaskSweta Agrawal, Nikita Mehandru, Niloufar Salehi, Marine Carpuat. 593-596 [doi]
• Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared TaskKeqin Bao, Yu Wan 0004, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He 0001, Derek F. Wong, Jun Xie. 597-605 [doi]
• KU X Upstage's Submission for the WMT22 Quality Estimation: Critical Error Detection Shared TaskSugyeong Eo, Chanjun Park, Hyeonseok Moon, Jaehyung Seo, HeuiSeok Lim. 606-614 [doi]
• NJUNLP's Participation for the WMT2022 Quality Estimation Shared TaskXiang Geng, Yu Zhang, Shujian Huang, Shimin Tao, Hao Yang 0006, Jiajun Chen. 615-620 [doi]
• BJTU-Toshiba's Submission to WMT22 Quality Estimation Shared TaskHui Huang, Hui Di, Chunyou Li, HanMing Wu, Kazushige Ouchi, Yufeng Chen 0005, Jian Liu, Jinan Xu. 621-626 [doi]
• Papago's Submission to the WMT22 Quality Estimation Shared TaskSeunghyun Lim, Jeonghyeok Park. 627-633 [doi]
• CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared TaskRicardo Rei, Marcos V. Treviso, Nuno Miguel Guerreiro, Chrysoula Zerva, Ana C. Farinha, Christine Maroti, José G. C. de Souza, Taisiya Glushkova, Duarte M. Alves, Luísa Coheur, Alon Lavie, André F. T. Martins. 634-645 [doi]
• CrossQE: HW-TSC 2022 Submission for the Quality Estimation Shared TaskShimin Tao, Chang Su, Miaomiao Ma, Hao Yang 0006, Xiang Geng, Shujian Huang, Min Zhang, Jiaxin Guo, Minghan Wang, Yinglu Li. 646-652 [doi]
• Welocalize-ARC/NKUA's Submission to the WMT 2022 Quality Estimation Shared TaskEirini Zafeiridou, Sokratis Sofianopoulos. 653-660 [doi]
• Edinburgh's Submission to the WMT 2022 Efficiency TaskNikolay Bogoychev, Maximiliana Behnke, Jelmer van der Linde, Graeme Nail, Kenneth Heafield, Biao Zhang, Sidharth Kashyap. 661-667 [doi]
• CUNI Non-Autoregressive System for the WMT 22 Efficient Translation Shared TaskJindrich Helcl. 668-670 [doi]
• The RoyalFlush System for the WMT 2022 Efficiency TaskBo Qin, Aixin Jia, Qiang Wang, Jianning Lu, Shuqin Pan, Haibo Wang, Ming Chen. 671-676 [doi]
• HW-TSC's Submission for the WMT22 Efficiency TaskHengchao Shang, Ting Hu, Daimeng Wei, Zongyao Li, Xianzhi Yu, Jianfei Feng, Ting Zhu, Lizhi Lei, Shimin Tao, Hao Yang 0006, Ying Qin, Jinlong Yang, Zhiqiang Rao, Zhengzhe Yu. 677-681 [doi]
• IIT Bombay's WMT22 Automatic Post-Editing Shared Task SubmissionSourabh Dattatray Deoghare, Pushpak Bhattacharyya. 682-688 [doi]
• LUL's WMT22 Automatic Post-Editing Shared Task SubmissionXiaoying Huang, Xingrui Lou, Fan Zhang, Tu Mei. 689-693 [doi]
• Findings of the WMT 2022 Biomedical Translation Shared Task: Monolingual Clinical Case ReportsMariana Neves 0002, Antonio Jimeno-Yepes, Amy Siu, Roland Roller, Philippe Thomas 0002, Maika Vicente Navarro, Lana Yeganova, Dina Wiemann, Giorgio Maria Di Nunzio, Federica Vezzani, Christel Gerardin, Rachel Bawden, Darryl Estrada, Salvador Lima-López, Eulàlia Farré-Maduell, Martin Krallinger, Cristian Grozea, Aurélie Névéol. 694-723 [doi]
• Findings of the WMT 2022 Shared Task on Chat TranslationAna C. Farinha, M. Amin Farajian, Marianna Buchicchio, Patrick Fernandes, José G. C. de Souza, Helena Moniz, André F. T. Martins. 724-743 [doi]
• Findings of the First WMT Shared Task on Sign Language Translation (WMT-SLT22)Mathias Müller 0002, Sarah Ebling, Eleftherios Avramidis, Alessia Battisti, Michèle Berger, Richard Bowden, Annelies Braffort, Necati Cihan Camgöz, Cristina España-Bonet, Roman Grundkiewicz, Zifan Jiang, Oscar Koller, Amit Moryossef, Regula Perrollaz, Sabine Reinhard, Annette Rios, Dimitar Shterionov, Sandra Sidler-Miserez, Katja Tissi. 744-772 [doi]
• Findings of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African LanguagesDavid Ifeoluwa Adelani, Md Mahfuz Ibn Alam, Antonios Anastasopoulos, Akshita Bhagia, Marta R. Costa-Jussà, Jesse Dodge, Fahim Faisal, Christian Federmann, Natalia Fedorova, Francisco Guzmán, Sergey Koshelev, Jean Maillard, Vukosi Marivate, Jonathan Mbuya, Alexandre Mourachko, Safiyyah Saleem, Holger Schwenk, Guillaume Wenzek. 773-800 [doi]
• Findings of the WMT 2022 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MTMarion Weller-Di Marco, Alexander Fraser 0001. 801-805 [doi]
• Overview and Results of MixMT Shared-Task at WMT 2022Vivek Srivastava, Mayank Singh 0001. 806-811 [doi]
• Findings of the Word-Level AutoCompletion Shared Task in WMT 2022Francisco Casacuberta, George Foster, Guoping Huang, Philipp Koehn, Geza Kovacs, Lemao Liu, Shuming Shi 0001, Taro Watanabe, Chengqing Zong. 812-820 [doi]
• Findings of the WMT 2022 Shared Task on Translation SuggestionZhen Yang, Fandong Meng, Yingxue Zhang 0003, Ernan Li, Jie Zhou 0016. 821-829 [doi]
• Focused Concatenation for Context-Aware Neural Machine TranslationLorenzo Lupo, Marco Dinarelli, Laurent Besacier. 830-842 [doi]
• Does Sentence Segmentation Matter for Machine Translation?Rachel Wicks, Matt Post. 843-854 [doi]
• Revisiting Locality Sensitive Hashing for Vocabulary Selection in Fast Neural Machine TranslationHieu Hoang, Marcin Junczys-Dowmunt, Roman Grundkiewicz, Huda Khayrallah. 855-869 [doi]
• Too Brittle to Touch: Comparing the Stability of Quantization and Distillation towards Developing Low-Resource MT ModelsHarshita Diddee, Sandipan Dandapat, Monojit Choudhury, Tanuja Ganu, Kalika Bali. 870-885 [doi]
• Data Augmentation for Inline Tag-Aware Neural Machine TranslationYonghyun Ryu, Yoonjung Choi, Sangha Kim. 886-894 [doi]
• The SPECTRANS System Description for the WMT22 Biomedical TaskNicolas Ballier, Jean-Baptiste Yunès, Guillaume Wisniewski, Lichao Zhu, Maria Zimina-Poirot. 895-900 [doi]
• SRT's Neural Machine Translation System for WMT22 Biomedical Translation TaskYoonjung Choi, Jiho Shin, Yonghyun Ryu, Sangha Kim. 901-907 [doi]
• Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know about ItLifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic. 908-919 [doi]
• Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation TaskErnan Li, Fandong Meng, Jie Zhou 0016. 920-924 [doi]
• Optum's Submission to WMT22 Biomedical Translation TasksSahil Manchanda, Saurabh Bhagwat. 925-929 [doi]
• Huawei BabelTar NMT at WMT22 Biomedical Translation Task: How We Further Improve Domain-specific NMTWeixuan Wang, Xupeng Meng, Suqing Yan, Ye Tian, Wei Peng. 930-935 [doi]
• HW-TSC Translation Systems for the WMT22 Biomedical Translation TaskZhanglin Wu, Jinlong Yang, Zhiqiang Rao, Zhengzhe Yu, Daimeng Wei, Xiaoyu Chen, Zongyao Li, Hengchao Shang, Shaojun Li, Ming Zhu, Yuanchang Luo, Yuhao Xie, Miaomiao Ma, Ting Zhu, Lizhi Lei, Song Peng, Hao Yang 0006, Ying Qin. 936-942 [doi]
• Unbabel-IST at the WMT Chat Translation Shared TaskJoão Alves, Pedro Henrique Martins, José G. C. de Souza, M. Amin Farajian, André F. T. Martins. 943-948 [doi]
• Investigating Effectiveness of Multi-Encoder for Conversational Neural Machine TranslationBaban Gain, Ramakrishna Appicharla, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal, Muthusamy Chelliah. 949-954 [doi]
• BJTU-WeChat's Systems for the WMT22 Chat Translation TaskYunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen 0005, Jie Zhou 0016. 955-961 [doi]
• HW-TSC Translation Systems for the WMT22 Chat Translation TaskJinlong Yang, Zongyao Li, Daimeng Wei, Hengchao Shang, Xiaoyu Chen, Zhengzhe Yu, Zhiqiang Rao, Shaojun Li, Zhanglin Wu, Yuhao Xie, Yuanchang Luo, Ting Zhu, Yanqing Zhao, Lizhi Lei, Hao Yang 0006, Ying Qin. 962-968 [doi]
• Clean Text and Full-Body Transformer: Microsoft's Submission to the WMT22 Shared Task on Sign Language TranslationSubhadeep Dey, Abhilash Pal, Cyrine Chaabani, Oscar Koller. 969-976 [doi]
• Spatio-temporal Sign Language Representation and TranslationYasser Hamidullah, Josef van Genabith, Cristina España-Bonet. 977-982 [doi]
• Experimental Machine Translation of the Swiss German Sign Language via 3D Augmentation of Body KeypointsLorenz Hufe, Eleftherios Avramidis. 983-988 [doi]
• TTIC's WMT-SLT 22 Sign Language Translation SystemBowen Shi, Diane Brentari, Gregory Shakhnarovich, Karen Livescu. 989-993 [doi]
• Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22Laia Tarrés, Gerard I. Gállego, Xavier Giró i Nieto, Jordi Torres. 994-1000 [doi]
• Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African LanguagesIdris Abdulmumin, Michael Beukman, Jesujoba O. Alabi, Chris Chinenye Emezue, Everlyn Chimoto, Tosin P. Adewumi, Shamsuddeen Hassan Muhammad, Mofetoluwa Adeyemi, Oreen Yousuf, Sahib Singh, Tajuddeen Gwadabe. 1001-1014 [doi]
• Language Adapters for Large-Scale MT: The GMU System for the WMT 2022 Large-Scale Machine Translation Evaluation for African Languages Shared TaskMd Mahfuz Ibn Alam, Antonios Anastasopoulos. 1015-1033 [doi]
• Samsung Research Philippines - Datasaur AI's Submission for the WMT22 Large Scale Multilingual Translation TaskJan Christian Blaise Cruz, Lintang Sutawika. 1034-1038 [doi]
• University of Cape Town's WMT22 System: Multilingual Machine Translation for Southern African LanguagesKhalid N. Elmadani, Francois Meyer, Jan Buys. 1039-1048 [doi]
• Tencent's Multilingual Machine Translation System for WMT22 Large-Scale African LanguagesWenxiang Jiao, Zhaopeng Tu, Jiarui Li, Wenxuan Wang, Jen-Tse Huang, Shuming Shi 0001. 1049-1056 [doi]
• DENTRA: Denoising and Translation Pre-training for Multilingual Machine TranslationSamta Kamboj, Sunil Kumar Sahu, Neha Sengupta. 1057-1067 [doi]
• The VolcTrans System for WMT22 Multilingual Machine Translation TaskXian Qian, Kai Hu, Jiaqiang Wang, Yifeng Liu, Xingyuan Pan, Jun Cao, Mingxuan Wang. 1068-1075 [doi]
• WebCrawl African : A Multilingual Parallel Corpora for African LanguagesPavanpankaj Vegi, Sivabhavani J., Biswajit Paul, Abhinav Mishra, Prashant Banjare, K. R. Prasanna Kumar, Chitra Viswanathan. 1076-1089 [doi]
• ANVITA-African: A Multilingual Neural Machine Translation System for African LanguagesPavanpankaj Vegi, Sivabhavani J., Biswajit Paul, K. R. Prasanna Kumar, Chitra Viswanathan. 1090-1097 [doi]
• HW-TSC Systems for WMT22 Very Low Resource Supervised MT TaskShaojun Li, Yuanchang Luo, Daimeng Wei, Zongyao Li, Hengchao Shang, Xiaoyu Chen, Zhanglin Wu, Jinlong Yang, Zhiqiang Rao, Zhengzhe Yu, Yuhao Xie, Lizhi Lei, Hao Yang 0006, Ying Qin. 1098-1103 [doi]
• Unsupervised and Very-Low Resource Supervised Translation on German and Sorbian Variant LanguagesRahul Tangsali, Aditya Vyawahare, Aditya Mandke, Onkar Litake, Dipali Kadam. 1104-1110 [doi]
• MUNI-NLP Systems for Lower Sorbian-German and Lower Sorbian-Upper Sorbian Machine Translation @ WMT22Edoardo Signoroni, Pavel Rychlý. 1111-1116 [doi]
• The AIC System for the WMT 2022 Unsupervised MT and Very Low Resource Supervised MT TaskAhmad Shapiro, Mahmoud Salama, Omar Abdelhakim, Mohamed Fayed, Ayman Khalafallah, Noha Adly. 1117-1121 [doi]
• NICT at MixMT 2022: Synthetic Code-Mixed Pre-training and Multi-way Fine-tuning for Hinglish-English TranslationRaj Dabre. 1122-1125 [doi]
• Gui at MixMT 2022 : English-Hinglish : An MT Approach for Translation of Code Mixed DataAkshat Gahoi, Jayant Duneja, Anshul Padhi, Shivam Mangale, Saransh Rajput, Tanvi Kamble, Dipti Misra Sharma, Vasudeva Varma. 1126-1130 [doi]
• MUCS@MixMT: IndicTrans-based Machine Translation for Hinglish TextAsha Hegde, Shashirekha Lakshmaiah. 1131-1135 [doi]
• SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained ModelsAbdul Rafae Khan, Hrishikesh Kanade, Girish Amar Budhrani, Preet Jhanglani, Jia Xu 0004. 1136-1144 [doi]
• The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared Task (MixMT)Faheem Kirefu, Vivek Iyer, Pinzhen Chen, Laurie Burchell. 1145-1157 [doi]
• CNLP-NITS-PP at MixMT 2022: Hinglish-English Code-Mixed Machine TranslationSahinur Rahman Laskar, Rahul Singh, Shyambabu Pandey, Riyanka Manna, Partha Pakray, Sivaji Bandyopadhyay. 1158-1161 [doi]
• Domain Curricula for Code-Switched MT at MixMT 2022Lekan Raheem, Maab Elrashid, Melvin Johnson, Julia Kreutzer. 1162-1169 [doi]
• Lingua Custodia's Participation at the WMT 2022 Word-Level Auto-completion Shared TaskMelissa Ailem, Jingshu Liu, Jean-Gabriel Barthelemy, Raheel Qader. 1170-1175 [doi]
• Translation Word-Level Auto-Completion: What Can We Achieve Out of the Box?Yasmin Moslem, Rejwanul Haque, Andy Way. 1176-1181 [doi]
• PRHLT's Submission to WLAC 2022Ángel Navarro, Miguel Domingo, Francisco Casacuberta. 1182-1186 [doi]
• IIGROUP Submissions for WMT22 Word-Level AutoCompletion TaskCheng Yang, Siheng Li, Chufan Shi, Yujiu Yang. 1187-1191 [doi]
• HW-TSC's Submissions to the WMT22 Word-Level Auto Completion TaskHao Yang 0006, Hengchao Shang, Zongyao Li, Daimeng Wei, Xianghui He, Xiaoyu Chen, Zhengzhe Yu, Jiaxin Guo, Jinlong Yang, Shaojun Li, Yuanchang Luo, Yuhao Xie, Lizhi Lei, Ying Qin. 1192-1197 [doi]
• TSMind: Alibaba and Soochow University's Submission to the WMT22 Translation Suggestion TaskXin Ge, Ke Wang, Jiayi Wang, Nini Xiao, Xiangyu Duan, Yu Zhao, Yuqi Zhang. 1198-1204 [doi]
• Transn's Submissions to the WMT22 Translation Suggestion TaskHong-bao Mao, Wenbo Zhang, Jie Cai, Jian Wei Cheng. 1205-1210 [doi]
• Improved Data Augmentation for Translation SuggestionHongxiao Zhang, Siyu Lai, Songming Zhang, Hui Huang, Yufeng Chen 0005, Jinan Xu, Jian Liu. 1211-1216 [doi]