MT Summit 2021

Machine Translation Summit

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MT Summit 2021 was organised by AMTA.

Location

• Online

Keynote Speakers

Aug 17 09:00 - 10:00	The New MT: One More Time Arle Lommel (CSA Research)
Aug 17 13:30 - 14:15	The Road to Infinity Jane Nemcova (Lionbridge)
Aug 18 11:00 - 11:45	Multimodal Simultaneous Machine Translation Lucia Specia (Imperial College London)
Aug 19 13:30 - 14:15	Machine Translation at the Government of Canada: Reaching for the Future Lucie Seguin (Translation Bureau of Canada)
Aug 19 16:00 - 16:45	Understanding and Improving Context Usage in Context-aware Translation Graham Neubig (Carnegie Mellon University)

Workshops

Aug 16 09:00 - 16:00	4th Workshop on Technologies for MT of Low Resource Languages
Aug 16 08:00 - 12:00	9th Workshop on Patent and Scientific Literature Translation
Aug 17 09:00 - 16:00	Automated Spoken Language Translation in Real-World Settings
Aug 20 09:00 - 4:00	1st International Workshop on Automatic Translation for Signed and Spoken Languages

Research track

	Learning Curricula for Multilingual Neural Machine Translation Training Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur
	Investigating Active Learning in Interactive Neural Machine Translation Kamal Gupta, Dhanvanth Boppana, Rejwanul Haque, Asif Ekbal, Pushpak Bhattacharyya
	Crosslingual Embeddings are Essential in UNMT for distant languages: An English to IndoAryan Case Study Tamali Banerjee, Rudra V Murthy, Pushpak Bhattacharya
	Neural Machine Translation in Low-Resource Setting: a Case Study in English-Marathi Pair Aakash Banerjee, Aditya Jain, Shivam Mhaskar, Sourabh Dattatray Deoghare, Aman Sehgal, Pushpak Bhattacharya
	Transformers for Low-Resource Languages: Is Féidir Linn! Seamus Lankford, Haithem Alfi, Andy Way
	The Effect of Domain and Diacritics in Yoruba–English Neural Machine Translation David Adelani, Dana Ruiter, Jesujoba Alabi, Damilola Adebonojo, Adesina Ayeni, Mofe Adeyemi, Ayodele Esther Awokoya, Cristina España-Bonet
	Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages Dana Ruiter, Dietrich Klakow, Josef van Genabith, Cristina España-Bonet
	Surprise Language Challenge: Developing a Neural Machine Translation System between Pashto and English in Two Months Alexandra Birch, Barry Haddow, Antonio Valerio Miceli Barone, Jindrich Helcl, Jonas Waldendorf, Felipe Sánchez Martínez, Mikel Forcada, Víctor Sánchez Cartagena, Juan Antonio Pérez-Ortiz, Miquel Esplà-Gomis, Wilker Aziz, Lina Murady, Sevi Sariisik, Peggy van der Kreeft, Kay Macquarrie
	Like Chalk and Cheese? On the Effects of Translationese in MT Training Samuel Larkin, Michel Simard, Rebecca Knowles
	Investigating Softmax Tempering for Training Neural Machine Translation Models Raj Dabre, Atsushi Fujita
	Scrambled Translation Problem: A Problem of Denoising UNMT Tamali Banerjee, Rudra V Murthy, Pushpak Bhattacharya
	Make the Blind Translator See The World: A Novel Transfer Learning Solution for Multimodal Machine Translation Minghan Wang, Jiaxin Guo, Yimeng Chen, Chang Su, Min Zhang, Shimin Tao, Hao Yang
	Sentiment Preservation in Review Translation using Curriculum-based Re-inforcement Framework Divya Kumari, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal
	On nature and causes of observed MT errors Maja Popovic
	A Comparison of Sentence-Weighting Techniques for NMT Simon Rieß, Matthias Huck, Alex Fraser
	Sentiment-based Candidate Selection for NMT Alexander G Jones, Derry Wijaya
	Studying The Impact Of Document-level Context On Simultaneous Neural Machine Translation Raj Dabre, Aizhan Imankulova, Masahiro Kaneko
	Attainable Text-to-Text Machine Translation vs. Translation: Issues Beyond Linguistic Processing Atsushi Fujita
	Modeling Target-side Inflection in Placeholder Translation Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka
	Product Review Translation using Phrase Replacement and Attention Guided Noise Augmentation Kamal Gupta, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal
	Optimizing Word Alignments with Better Subword Tokenization Anh Khoa Ngo Ho, François Yvon
	Introducing Mouse Actions into Interactive-Predictive Neural Machine Translation Ángel Navarro, Francisco Casacuberta
	Neural Machine Translation with Inflected Lexicon Artur Nowakowski, Krzysztof Jassem
	An Alignment-Based Approach to Semi-Supervised Bilingual Lexicon Induction with Small Parallel Corpora Kelly V Marchisio, Philipp Koehn, Conghao Xiong

User and provider track

	Roundtable: Building MT Capacity and Competence In-House Digital Marketing Globalization at NetApp: A Case Study of Digital Transformation utilizing Neural Machine Translation Edith Bendermacher
	Roundtable: Building MT Capacity and Competence In-House Neural Machine Translation at Ford Motor Company Nestor Rychtyckyj
	Roundtable: Building MT Capacity and Competence In-House Salesforce NMT System: A Year Later Raffaella Buschiazzo
	Roundtable: Building MT Capacity and Competence In-House Autodesk: Neural Machine Translation – Localisation and beyond Emanuele Dias
	From Research to Production: Fine-Grained Analysis of Terminology Integration Toms Bergmanis, Mārcis Pinnis, Paula Reichenberg
	Glossary functionality in commercial machine translation: does it help? A first step to identify best practices for a language service provider Randy Scansani, Loïc Dugast
	Selecting the best data filtering method for NMT training Fred Bane, Anna Zaretskaya
	A Review for Large Volumes of Post-edited Data Silvio Picinini
	Accelerated Human NMT Evaluation Approaches for NMT Workflow Integration James Phillips
	MT Human Evaluation – Insights & Approaches Paula Manzur
	A Rising Tide Lifts All Boats? Quality Correlation between Human Translation and Machine Assisted Translation Evelyn Yang Garland, Rony Gao
	Bad to the Bone: Predicting the Impact of Source on MT Alex Yanishevsky
	Machine Translation Post-Editing (MTPE) from the Perspective of Translation Trainees: Implications for Translation Pedagogy Dominika Cholewska
	Using Raw MT to make essential information available for a diverse range of potential customers Sabine Peng
	Field Experiments of Real Time Foreign News Distribution Powered by MT Keiji Yasuda, Ichiro Yamada, Naoaki Okazak, Hideki Tanaka, Hidehiro Asaka, Takeshi Anzai, Fumiaki Sugaya
	A Common Machine Translation Post-Editing Training Protocol by GALA Viveta Gene, Lucía Guerrero
	Preserving high MT quality for content with inline tags Konstantin Savenkov, Grigory Sapunov, Pavel Stepachev
	Early-stage development of the SignON application and open framework – challenges and opportunities Dimitar Shterionov, John J O’Flaherty, Edward Keane, Connor O’Reilly, Marcello Paolo Scipioni, Marco Giovanelli, Matteo Villa
	Deploying MT Quality Estimation on a large scale: Lessons learned and open questions Aleš Tamchyna
	Validating Quality Estimation in a CAT Workflow: Speed, Cost and Quality Trade-off Fernando Alva-Manchego, Lucia Specia, Sara Szoc, Tom Vanallemeersch, Heidi Depraetere
	Neural Translation for European Union (NTEU) Mercedes García-Martínez, Laurent Bié, Aleix Cerdà, Amando Estela, Manuel Herranz, Rihards Krišlauks, Maite Melero, Tony O’Dowd, Sinead O’Gorman, Marcis Pinnis, Artūrs Stafanovič, Riccardo Superbo, Artūrs Vasiļevskis
	A Data-Centric Approach to Real-World Custom NMT for Arabic Rebecca Jonsson, Ruba Jaikat, Abdallah Nasir, Nour Al-Khdour, Sara Alisis
	Building MT systems in low resourced languages for Public Sector users in Croatia, Iceland, Ireland, and Norway Róisín Moran, Carla Para Escartín, Akshai Ramesh, Páraic Sheridan, Jane Dunne, Federico Gaspari, Sheila Castilho, Natalia Resende, Andy Way
	Using speech technology in the translation process workflow in international organizations: A quantitative and qualitative study Pierrette Bouillon, Jeevanthi Liyanapathirana
	Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional Tagging Emmanouil Stergiadis, Satendra Kumar, Fedor Kovalev, Pavel Levin
	cushLEPOR uses LABSE distilled knowledge to improve correlation with human translations Gleb Erofeev, Irina Sorokina, Lifeng Han, Serge Gladkoff
	A Synthesis of Human and Machine: Correlating “New” Automatic Evaluation Metrics with Human Assessments Mara Nunziatini, Andrea Alfieri
	Lab vs. Production: Two Approaches to Productivity Evaluation for MTPE for LSP Elena Murgolo

Goverment track

	Neural Translator Designed to Protect the Eastern Border of the European Union Artur Nowakowski, Krzysztof Jassem
	Corpus Creation and Evaluation for Speech-to-Text and Speech Translation Corey Miller, Evelyne Tzoukermann, Jennifer Doyon, Elizabeth Mallard