In spite of being the final programme, note that minor modifications may still happen at the discretion of the conference committees. The time slots are presented in the programme according to the Western European Time Zone (UTC±00:00).

The conference proceedings are published as a single digital volume: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (2020) André Martins, Helena Moniz, Sara Fumega, Bruno Martins, Fernando Batista, Luisa Coheur, Carla Parra, Isabel Trancoso, Marco Turchi, Arianna Bisazza, Joss Moorkens, Ana Guerberof, Mary Nurminen, Lena Marg, Mikel L. Forcada, editors. ISBN: 978-989-33-0589-8. Retrieved from http://eamt2020.inesc-id.pt/proceedings-eamt2020.pdf.

This is the list of all the accepted papers grouped according to their track. The proceedings are published online, and the individual papers are available from the ACL Anthology.

Research Track

1. “Comprehension and Trust in Crises: Investigating the Impact of Machine Translation and Post-Editing”. Alessandra Rossetti, Sharon O'Brien and Patrick Cadwell
2. “Leveraging Multilingual Resources for Language Invariant Sentiment Analysis”. Allen Antony, Arghya Bhattacharya, Jaipal Goud and Radhika Mamidi
3. “Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings”. António Góis, Kyunghyun Cho and André Martins
4. “Document-level Neural MT: A Systematic Comparison”. António Lopes, M. Amin Farajian, Rachel Bawden, Michael Zhang and André T. Martins
5. “Reassessing Claims of Human Parity and Super-Human Performance in Machine Translation at WMT 2019”. Antonio Toral
6. “Quality In, Quality Out: Learning from Actual Mistakes”. Frederic Blain, Nikolaos Aletras and Lucia Specia
7. “Efficient Transfer Learning for Quality Estimation with Bottleneck Adapter Layer”. Hao Yang, Minghan Wang, Ning Xie, Ying Qin and Yao Deng
8. “Revisiting Round-trip Translation for Quality Estimation”. Jihyung Moon, Hyunchang Cho and Eunjeong L. Park
9. “Correct Me If You Can: Learning from Error Corrections and Markings”. Julia Kreutzer, Nathaniel Berger and Stefan Riezler
10. “Modelling Source- and Target- Language Syntactic Information as Conditional Context in Interactive Neural Machine Translation”. Kamal Kumar Gupta, Rejwanul Haque, Asif Ekbal, Pushpak Bhattacharyya and Andy Way
11. “Low-Resource Unsupervised NMT: Diagnosing the Problem and Providing a Linguistically Motivated Solution”. Lukas Edman, Antonio Toral and Gertjan van Noord
12. “What's the Difference Between Professional Human and Machine Translation? A Blind Multi-language Study on Domain-specific MT”. Lukas Fischer and Samuel Läubli
13. “MT for subtitling: User evaluation of post-editing productivity”. Maarit Koponen, Umut Sulubacak, Kaisa Vitikainen and Jörg Tiedemann
14. “Incorporating External Annotation to improve Named Entity Translation in NMT”. Maciej Modrzejewski, Miriam Exel, Bianka Buschbeck, Thanh-Le Ha and Alexander Waibel
15. “Unified Humor Detection Based on Sentence-pair Augmentation and Transfer Learning”. Minghan Wang, Hao Yang, Ying Qin, Shiliang Sun and Yao Deng
16. “MT syntactic priming effects on L2 English speakers”. Natália Resende, Benjamin Cowan and Andy Way
17. “With or without you? Effects of using machine translation to write flash fiction in the foreign language”. Nora Aranberri
18. “Fine-Grained Error Analysis on English-to-Japanese Machine Translation in the Medical Domain”. Takeshi Hayakawa and Yuki Arase
19. “Intelligent Translation Memory Matching and Retrieval with Sentence Encoders”. Tharindu Ranasinghe, Constantin Orasan and Ruslan Mitkov
20. “Efficiently Reusing Old Models Across Languages via Transfer Learning”. Tom Kocmi and Ondřej Bojar
21. “A multi-source approach for Breton–French hybrid machine translation”. Víctor M. Sánchez-Cartagena, Mikel L. Forcada and Felipe Sánchez-Martínez
22. “When and Why is Unsupervised Neural Machine Translation Useless?”. Yunsu Kim, Miguel Graça and Hermann Ney
23. “Double Attention-based Multimodal Neural Machine Translation with Semantic Image Regions”. Yuting Zhao, Mamoru Komachi, Tomoyuki Kajiwara and Chenhui Chu
24. “Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-Chinese”. Yuying Ye and Antonio Toral
25. “Automatic Translation for Multiple NLP tasks: a Multi-task Approach to Machine-oriented NMT Adaptation”. Amirhossein Tebbifakhr, Matteo Negri and Marco Turchi

User Track

1. “Terminology-Constrained Neural Machine Translation at SAP”. Miriam Exel, Bianka Buschbeck, Lauritz Brandt, and Simona Doneva
2. “An English-Swahili parallel corpus and its use for neural machine translation in the news domain”. Felipe Sánchez-Martínez, Victor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Mikel L. Forcada, Miquel Esplá-Gomis, Andrew Secker, Susie Coleman, and Julie Wall
3. “Domain Informed Neural Machine Translation: Developing Translation Services for the Healthcare Enterprise”. Sahil Manchanda and Galina Grunin
4. “Evaluating the usefulness of neural machine translation for the Polish translators in the European Commission”. Karolina Stefaniak
5. “Ellipsis Translation for a Medical Speech to Speech Translation System”. Jonathan Mutal, Johanna Gerlach, Pierette Bouillon and Hervé Spechbach
6. “Bifixer and Bicleaner: two open-source tools to clean your parallel data”. Gema Ramiréz-Sánchez, Jaume Zaragoza-Bernebeu, Marta Bañón and Sergio Ortiz Rojas
7. “Machine Translation Post-editing Levels: Breaking Away from the Tradition and Delivering a Tailored Service”. Mara Nunziatini and Lena Marg
8. “NICE: Neural Integrated Custom Engines”. Daniel Marín Buj, Daniel Ibañez García, Zuzanna Parcheta and Francisco Casacuberta
9. “Estimation vs. Metrics: is QE Useful for MT Model Selection?”. Anna Zaretskaya, José Conceicão and Frederick Bane
10. “A User Study of the Incremental Learning in NMT”. Miguel Domingo, Mercedes García-Martínez, Álvaro Peris, Alexandre Helle, Amando Estela, Laurent Bié, Francisco Casacuberta and Manuel Herranz
11. “Persistent MT on software technical documentation - a case study”. María Concepción Laguardia
12. “Insights from Gathering MT Productivity Metrics at Scale”. Georg Kirchner

Project/Product Track

1. “QE Viewer: an Open-Source Tool for Visualization of Machine Translation Quality Estimation Results”. Felipe Soares, Anna Zaretskaya and Diego Bartolome
2. “Document-Level Machine Translation Evaluation Project: Methodology, Effort and Inter-Annotator Agreement”. Sheila Castilho
3. “Sockeye 2: A Toolkit for Neural Machine Translation”. Felix Hieber, Tobias Domhan, Michael Denkowski and David Vilar
4. “CEF Data Marketplace: Powering a Long-term Supply of Language Data”. Amir Kamran, Dace Dzeguze, Jaap van der Meer, Milica Panic, Alessandro Cattelan, Daniele Patrioli, Luisa Bentivogli and Marco Turchi
5. “QRev: Machine Translation of User Reviews: What Influences the Translation Quality?”. Maja Popović
6. “ELITR: European Live Translator”. Ondřej Bojar, Dominik Macháček, Sangeet Sagar, Otakar Smrž, Jonáš Kratochvíl, Ebrahim Ansari, Dario Franceschini, Chiara Canton, Ivan Simonini, Thai-Son Nguyen, Felix Schneider, Sebastian Stücker, Alex Waibel, Barry Haddow, Rico Sennrich and Philip Williams
7. “Progress of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian”. Andy Way, Petra Bago, Jane Dunne, Federico Gaspari, Andre Kåsen, Gauti Kristmannsson, Helen McHugh, Jon Arild Olsen, Dana Davis Sheridan, Páraic Sheridan and John Tinsley
8. “MTUOC: easy and free integration of NMT systems in professional translation environments”. Antoni Oliver
9. “INMIGRA3: building a case for NGOs and NMT”. Celia Rico, María del Mar Sánchez Ramos and Antoni Oliver
10. “The Multilingual Anonymisation Toolkit for Public Administrations (MAPA) Project”. Ēriks Ajausks, Victoria Arranz, Laurent Bié, Aleix Cerdà-i-Cucó, Khalid Choukri, Montse Cuadros, Hans Degroote, Amando Estela, Thierry Etchegoyhen, Mercedes García-Martínez, Aitor Garcı́a-Pablos, Manuel Herranz, Alejandro Kohan, Maite Melero, Mike Rosner, Roberts Rozis, Patrick Paroubek, Artūrs Vasiļevskis and Pierre Zweigenbaum
11. “APE-QUEST: an MT Quality Gate”. Heidi Depraetere, Joachim Van den Bogaert, Sara Szoc and Tom Vanallemeersch
12. “MICE: a middleware layer for MT”. Joachim Van den Bogaert, Tom Vanallemeersch and Heidi Depraetere
13. “Neural Translation for the European Union (NTEU) Project”. Laurent Bié, Aleix Cerdà-i-Cucó, Hans Degroote, Amando Estela, Mercedes García-Martínez, Manuel Herranz, Alejandro Kohan, Maite Melero, Tony O’Dowd, Sinéad O’Gorman, Mārcis Pinnis, Roberts Rozis, Riccardo Superbo and Artūrs Vasiļevskis
14. “OPUS-MT — Building open translation services for the World”. Jörg Tiedemann and Santhosh Thottingal
15. “OCR, Classification & Machine Translation (OCCAM)”. Joachim Van den Bogaert, Arne Defauw, Frederic Everaert, Koen Van Winckel, Alina Kramchaninova, Anna Bardadym, Tom Vanallemeersch, Pavel Smrž and Michal Hradiš
16. “CEFAT4Cities, a Natural Language Layer for the ISA2 Core Public Service Vocabulary”. Joachim Van den Bogaert, Arne Defauw, Sara Szoc, Frederic Everaert, Koen Van Winckel, Alina Kramchaninova, Anna Bardadym and Tom Vanallemeersch
17. “Assessing the Comprehensibility of Automatic Translations (ArisToCAT)”. Lieve Macken, Margot Fonteyne, Arda Tezcan and Joke Daems
18. “Let MT simplify and speed up your alignment for TM creation”. Judith Klein and Giorgio Bernardinello
19. “An Overview of the SEBAMAT Project”. Reinhard Rapp and George Tambouratzis
20. “DeepSPIN: Deep Structured Prediction for Natural Language Processing”. André Filipe Torres Martins, lad Niculae, Erick Fonseca, Ben Peters, Gonçalo Correia, Tsvetomila Mihaylova, Marcos Treviso, Pedro Martins
21. “Project MAIA: Multilingual AI Agent Assistant”. André Filipe Torres Martins, João Graça, Paulo Dimas, Helena Moniz and Graham Neubig
22. “MTrill project: Machine Translation impact on language learning”. Natália Resende and Andy Way

Translators' Track

1. “A human evaluation of English-Irish statistical and neural machine translation”. Meghan Dowling, Sheila Castilho, Joss Moorkens, Teresa Lynn and Andy Way
2. “Re-design of the Machine Translation Training Tool (MT3)”. Paula Estrella, Emiliano Cuenca, Laura Bruno, Jonathan Mutal, Sabrina Girletti, Lise Volkart and Pierrette Bouillon
3. “Multidimensional assessment of the eTranslation output for English–Slovene”. Mateja Arnejšek and Alenka Unk
4. “How do LSPs compute MT discounts? Presenting a company's pipeline and its use”. Randy Scansani and Lamis Mhedhbi
5. “PosEdiOn: Post-Editing Assessment in PythOn”. Antoni Oliver, Sergi Alvarez and Toni Badia
6. “Machine Translation Quality: A comparative evaluation of SMT, NMT and tailored-NMT outputs”. Maria Stasimioti, Vilelmini Sosoni, Katia Kermanidis and Despoina Mouratidis
7. “Quantitative Analysis of Post-Editing Effort Indicators for NMT”. Sergi Alvarez, Antoni Oliver and Toni Badia
8. “Comparing Post-editing based on Four Editing Actions against Translating with an Auto-Complete Feature”. Félix Do Carmo
9. “On the differences between human translations”. Maja Popovic

Registration form

Apart from authors (which need to register until the 31st May 2020), there will be no early bird registration deadline. Prices will not change and participants can register at any time prior to the conference.

All prices include VAT. Fees vary depending on whether you are a member of the European Association for Machine Translation (EAMT) or not. If you are not currently a member of EAMT, you may apply for EAMT membership before registering for the conference and then proceed with an EAMT member conference fee.

EAMT 2020 is right around the corner! As part of our virtual conference, we will feature 2-minute video clip ‘pitches’ on all oral and poster presentations. Conference attendees can view the videos at any point of the conference, although all oral presentations will be LIVE on Zoom using screen sharing (20 minutes, plus 5 for Q&A). We are therefore requesting for all authors giving oral presentations to prepare their pitch videos before the conference, by October 25.

Instructions for Creating Pitch Videos

• Prepare a maximum 2-minute video ‘pitch’ of your paper. The MP4 format works.
• One way to prepare a video is to use a Zoom session: Prepare a few slides (1-3), start the session, share your slides, start recording, then give the presentation. Remember that it should be MAXIMUM 2 minutes.
• Give the video a name that contains author name(s,) paper title, and the corresponding track (research, user, translator,project)
• Upload the video by 25 October 2020, to the appropriate folder in https://drive.google.com/drive/folders/1cDxEIObbd-fHvvKr2SNIcDBbflmfrBLN

How the Poster Sessions will be Run

We wanted to tell you more about how the poster sessions will be conducted, since not all of you will have participated in a virtual poster session already. We also wanted give you instructions on what you need to do before the conference.

• 2-minute video clips outlining the basics of each ‘poster’ should be submitted ahead of time to the conference organizers (instructions above for the pitch videos)
• The video clips will be available to all conference attendees, who will view them before or at the beginning of the poster session and decide which ones they are interested in
• For the session, each poster will be assigned a Zoom breakout room
• Authors remain in their own breakout room for the duration of the session, talking about their research and answering questions
• Similarly to a live poster session, attendees will jump into your breakout rooms, maybe listen, maybe pose questions, and jump back out when their curiosity about your paper has been satisfied

The European Association for Machine Translation (EAMT) invites everyone interested in machine translation, and translation-related tools and resources ― developers, researchers, users, translation and localization professionals and managers ― to participate in this conference. If you envisage an information world in which language barriers become less visible to the information consumer, submit a paper on the topic that drives you and your work. Driven by the state of the art, the research community will demonstrate their cutting-edge research and results, and professional MT users in the language industry will provide insight into successful MT implementation in business scenarios. Translation studies scholars and translation practitioners are also invited to share their first-hand MT experience, which will be addressed during a special track.

We expect to receive manuscripts in these four categories:

(R) Research papers

Submissions (up to 10 pages, including references) are invited for reports of significant research results in any aspect of machine translation and related areas. Such reports should include a substantial evaluation component, or have a strong theoretical and/or methodological contribution where results and in-depth evaluations may not be appropriate. Papers are welcome on all topics in the areas of machine translation and translation-related technologies, including:

• Novel deep-learning approaches for MT and MT evaluation;
• Advances in classical MT paradigms: statistical, rule-based, and hybrid approaches;
• Comparison of various MT approaches;
• Technologies for MT deployment: quality estimation, domain adaptation, etc.;
• MT in special settings: low resources, massive resources, high volume, low computing resources;
• MT applications: translation/localisation aids, speech-to-speech, speech-to-text, OCR, MT for user generated content (blogs, social networks), etc.;
• Linguistic resources for MT: dictionaries, terminology, corpora, etc.;
• MT evaluation techniques, metrics, and evaluation results;
• Human factors in MT and user interfaces;
• Related multilingual technologies: natural language generation, information retrieval, text categorisation, text summarisation, information extraction, etc.

Papers should describe original work. They should emphasise completed work rather than intended work, and should indicate clearly the state of completion of the reported results. Where appropriate, concrete evaluation results should be included.

Papers should be anonymized, prepared according to the templates specified below, and no longer than 10 pages (including references); the resulting PDFs submitted to EasyChair EAMT 2020 page (submission type: EAMT2020 Research).

(U) User studies

Submissions (up to 10 pages, including references) are invited for reports on case studies and implementation experience with MT in small or medium-size businesses in the language industry, as well as implementation scenarios involving large corporations, governments, or NGOs. Contributions are welcome on the following topics:

• Integrating MT and computer-assisted translation into a translation production workflow (e.g. transforming terminology glossaries into MT resources, optimizing TM/MT thresholds, mixing online and offline tools, using interactive MT, dealing with MT confidence scores);
• Use of MT to improve translation or localisation workflows (e.g. reducing turnaround times, improving translation consistency, increasing the scope of globalisation projects);
• Managing change when implementing and using MT (e.g. switching between multiple MT systems, limiting degradations when updating or upgrading an MT system);
• Implementing open-source MT in the SME or enterprise (e.g. strategies to get support, reports on taking pilot results into full deployment, examples of advanced customisation sought and obtained thanks to the open-source paradigm, collaboration within open-source MT projects);
• Evaluating MT in a real-world setting (e.g. error detection strategies employed, metrics used, productivity or translation quality gains achieved);
• Post-editing strategies and tools (e.g. limitations of traditional translation quality assurance tools, challenges associated with post-editing guidelines);
• Legal issues associated with MT, especially MT in the cloud (e.g. copyright, privacy);
• Using MT in social networking or real-time communication (e.g. enterprise support chat, multilingual content for social media);
• Implementing MT to process multilingual content for assimilation purposes (e.g. cross-lingual information retrieval, MT for e-discovery or spam detection, MT for highly dynamic content);
• Implementing MT standards.

Papers should highlight problems and solutions in addition to describing MT integration processes and project settings. Where solutions do not seem to exist, suggestions for MT researchers and developers should be clearly emphasised. For user papers produced by academics, we require co-authorship with the actual users.

Papers should be formatted according to the templates specified below, no longer than 10 pages (including references), and submitted as PDF files to the EasyChair EAMT 2020 page (submission type: EAMT2020 User). Anonymization is not required in the User track submissions.

Please note that 10 pages is the maximum number of pages. Innovative and professional submissions of any length will be evaluated by the committee.

(P) Project/Product description

Submissions (2 pages, including references) are invited to report new, interesting:

• Tools for machine translation, computer aided translation, and the like (including commercial products and open-source software). The authors should be ready to present the tools in the form of demos or posters during the conference;
• Research projects related to machine translation. The authors should be ready to present the projects in the form of posters during the conference. This follows on from the successful ‘project villages’ held at the last EAMT conferences.

Abstracts should be formatted according to the templates specified below. Anonymization is not required. The abstracts should be no longer than 2 pages (including references), and submitted as PDF files to the EasyChair EAMT 2020 page (submission type: EAMT2020 Products-Projects).

(T) Translators’ track

The use of machine translation by professional translators has an important social and economic impact due to the multilinguality of globalized societies. Translation practitioners deal with MT output in a wide variety of environments (inside or outside CAT tools, post-editing or drafting for inspiration, managing projects, training and improving engines) and, for this reason, they play a key role in the translation workflow and in the advance of MT.

This conference invites translation practitioners and translation scholars to share their views and observations based on their day-to-day experience through submissions reporting on issues such as:

• Measurements of comparative effort (time/keystrokes/cognitive) in translation practices involving MT and their impact on the profession;
• Impact of MT on translators’ work: processes, new invoicing methods (for example, using TER for matching), applicability;
• Psycho-social aspects of MT adoption (ergonomics, motivation, and social impact on the profession);
• Error analysis and post-editing strategies (including automatic post-editing and automation strategies);
• The use of translators’ metadata and user activity data in MT development;
• Freelance translators’ independent use of MT (e.g. for individual productivity and not necessarily a customer requirement);
• MT and usability;
• MT in literary, audiovisual, game localisation and creative texts;
• MT and interpreting;
• Ethical and confidentiality issues when using MT;
• MT in various scenarios including health care communication, crisis translation, and climate change;
• MT in the translation/interpreting classroom.

Accepted translator track papers will be published in the conference proceedings. Please make sure to consult and cite previously published work before submitting your paper.

Submissions should be anonymized, prepared according to the templates specified below, and no longer than 10 pages (including references). Proposals should be submitted as PDF files to the EasyChair EAMT 2020 page (submission type: EAMT2020 Translator).

Please note that 10 pages is the maximum number of pages. Submissions of any length will be evaluated by the committee.

Paper templates

Use the LaTeX, Microsoft Word and LibreOffice/OpenOffice.org templates available at https://eamt2020.inesc-id.pt/#templates to prepare your submission.

Publication

Accepted papers will be published in an electronic book of proceedings with an ISBN number.

In addition, the best accepted papers will be invited to submit an extended version undergoing a lighter reviewing process, as regular papers in the Springer journal Machine Translation.

Programme

In addition to an invited talk (Lucia Specia, Imperial College and Sheffield University), the programme of the Research, User, and Translators’ tracks will include oral presentations and poster sessions. Accepted papers may be assigned to an oral or poster session, but no differentiation will be made in the conference proceedings.

Best Thesis Award

The EAMT Best Thesis Award 2020 for PhD theses defended during 2019 will be awarded at the conference, together with a presentation of the winner’s work. Information for candidates to the award is available at http://eamt.org/news/news_best_thesis_2019.php.

The deadline is the same as for the paper submission. Theses should be submitted to the EasyChair EAMT 2020 page (Submission type: Thesis Award)

Important deadlines

• Paper submission: March 25, 2020.
• Notification to authors: April 20, 2020.
• Camera-ready deadline: April 27, 2020.
• Author registration: May 31, 2020
• Conference: November 3-5 May 4–6, 2020.

All deadlines are at 23.59 CEST.