AMTA 2026

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A conference dedicated to the latest research, development, and application of Machine Translation and AI for cross-lingual use cases. 

AMTA, the Association for Machine Translation in the Americas, is known for its 35-year history of presenting conferences with high-value, low-hype, cutting-edge information of interest to the entire MT community. AMTA remains of, by, and for the entire spectrum of MT and language technology interest groups, from researchers and developers, to technology providers, language professionals, and end users. 

We invite you to join us for our two-part conference:

• Virtual Day of Tutorials (19 August 2026), online and available globally
• Full in-person conference (31 August – 2 September 2026) in beautiful Québec City 

Registration for the in-person conference includes the Virtual Day of Tutorials and a banquet dinner for all conference attendees and speakers.

Registration only for the Virtual Day of Tutorials is also possible.

Note: the in-person conference will not be live streamed!

Virtual Day of Tutorials

Spend Wednesday, 19 August 2026, enjoying deep dives into these important topics from the comfort of your home:

• Introduction to Machine Translation with Marianna Martindale
• DSPY for Automatic Translation Use Cases with Alex Yanishevsky, Olivia Norris, Jason Rauchwerk, Daria Akselrod (Smartling)
• MT Evaluation for Spoken AI Interpreting with Zac Bolton and Greg Lincoln (Boostlingo)
• AI and the Future of Low-Resource Languages with Sara Zanzottera
• Understanding and Mitigating Bias in MT with Michal Mechura
• AI-Augmented TMS with Jourik Ciesielki
• AI-Assisted Linguistic Quality Assurance with Luciana Ramos
• Automated TQE Systems: A Practical Commercial user-Oriented Overview with Alon Lavie (CMU), Arle Lommel (CSA Research), Carola Berger (CFB Scientific Translations) and Evelyn Yang Garland (Acta Language Services) 

Several tutorials will run in parallel, so you won’t be able to attend all of them in real time. But don’t worry: All tutorials will be recorded and available to registered attendees for 90 days after the event.

Main Conference

Three full days of in-person keynote addresses, panel discussions, presentations, demonstrations, banquet dinner, and plenty of time for discussions and networking with people like you who are inventing the future.

Keynote talks by:

• André Palaguine, CEO, Language Intelligence AI, on “The Future of Language Services: Reinvention in the AI Era”
• Kevin Duh, Associate Research Professor, Johns Hopkins University, on “Retrieval-Augmented Generation with Multilingual Documents”
• Paco Guzmán, Head of Research, Handshake AI, on “Turning Disruption into Opportunity: When Multilingual MT Meets GenAI”

Accepted papers and presentations:

• Mubarak Alkhatnai (King Saud University), “Beyond Efficiency: Human-Centred AI Governance in Arabic Translation and Post-Editing Education”
• Paşa Bayramoğlu (Üsküdar University), “Evaluating Fluent MT Outputs Against Translation Specifications”
• Adam Bittlingmayer (ModelFront), “Survey of machine translation quality estimation”
• Shirley Coady (Language Intelligence Corporation), “Privacy, Sovereignty, and Automated Translation Platforms”
• Nicolas Dahan (Inria Paris)*; Ziqian Peng (CNRS ISIR, Sorbonne University); François Yvon (CNRS ISIR); Rachel Bawden (Inria Paris), “Improving Term Evaluation in Machine Translation: Variation Matters”
• Neha Gajakos, Rejwanul Haque, Christopher  Staff, Brenda Murphy (South East Technological University), “BRIDGE-MT: A Benchmark for Role Interactions and Dependencies in Machine Translation Gender Evaluation”
• Evelyn Garland (Acta Language Services LLC), Alon Lavie (Carnegie Mellon University), and Arle Lommel (CSA Research), “ Evaluating Quality Estimation Systems: Toward a Common Framework”
• Ramunė Kasperė, Jurgita Motiejūnienė, and Valdas Grigaliūnas (Kaunas University of Technology), “Processing Human-Rendered Machine-Translated Sign Language: An Eye-Tracking Study”
• Olesia Khrapunova (Welocalize), “AI-Based Post-Editing and Translation vs. Neural MT Engines: A 110,000+ Segment Production Benchmark Across 10 Locales”
• Masaki Kinouchi, Kayoko Nohara, Xinru Zhu, Yuma Miura (Institute of Science Tokyo), “Layout-Based Chunk Alignment: Utilizing Visual Information to Collect Parallel Texts From Image Documents”
• Rebecca Knowles, Cyril Goutte (National Research Council Canada), “Crosslingual Disparities in LLM Performance: Challenges for MT as Mitigation”
• Jeniffer Leal-Wyss, Gabriel Bernier-Colborne, Delaney Lothian, Michel Simard, Rebecca Knowles (National Research Council Canada), “Translators’ Perceptions and Edit Traces: Quality of MT as a Tool in Canadian Parliamentary Translation”
• Elliott Macklovitch (expert-conseil en TAO), “MT history reassessed in light of present-day achievements”
• Evgeny Matusov and Patrick Wilken (AppTek), “Automatic Post-editing in Subtitle Translation Workflows: What, Where, How?”
• Maciej Modrzejewski (BIG Language Solutions), “Lost in Translation? Reducing Ambiguity in AI Based Speech to Speech Translation”
• Maciej Modrzejewski (BIG Language Solutions), “Predict and Fix: A Unified Model for Translation Quality Estimation and Post-Editing”
• Hazal Munar Balıkçıoğlu (Başkent University), “Literary Transcreation and Glocalization in Human and AI Translation Contexts”
• Grace Pasion, Ammon Shurtz, Steve Richardson (Brigham Young University), “Toward Equitable Machine Translation for Atypical Speech: An LLM Post-Correction Approach”
• MING QIAN (Charles River Analytics), Luyi Yang, “LLMs as Training Partners for Translators”
• Marina Sánchez Torrón (Smartling), “Context-Aware LLM Translation in Production Pipelines: A Controlled Comparison of Segment-, Paragraph-, and Document-Level Strategies”
• Konstantin Savenkov and Daria Sinitsyna (Intento), “State of Translation Automation 2026”
• Vera Senderowicz, Dimitrios Pavlou, Peter Bourgonje, Olesia Khrapunova, Konstantinos Karageorgos, Aaron Schliem (Welocalize), “Document Summarization for AI-based Post-Editing”
• Daria Sinitsyna (Intento), “Customizable Framework for Requirements-Based LQA”
• Nate Stone (DittoDub), “AI Dubbing Is a Localization Pipeline, Not a Voice Model”
• Tabia Tanzin Prama (Jahangirnagar Univarsity), Juniper L Lovato, Chris  Danforth, Peter Dodds (University of Vermont), “Translation-CoT: A Human-Inspired Chain-of-Thought Framework for Multilingual LLM Translation”
• Mao Tian and Na Wu (Orbit8 Lab), “An Agentic Architecture for Game Localization with Deterministic Glossary Enforcement”
• Mao Tian and Na Wu (Orbit8 Lab), “Benchmarking Large Language Models for Game Localization Quality Assurance: A Cross-Model, Cross-Lingual Analysis”
• Kirti Vashee (Translated), “The New Data Requirements for LLM MT” 
• Jennifer Wong  and Marina Sánchez Torrón (Smartling), “Thinking in English? How American-Centric LLMs Compare to non-American-centric Models for Content Translation and Generation”
• Cecilia Yalangozian (ModelFront), “The State of Quality Estimation”
• Alex Yanishevsky, Jason Rauchwerk, and Olivia Norris (Smartling), “RAGs to Riches: A Journey from Static to Agentic RAG for AI Translation”
• Bryan Zhang (Amazon), “Practical Multilingual Title Optimization at Scale with Small Language Models”

Venue

Centre des congrès de Québec

1000 Bd René-Lévesque E, Québec, QC G1R 2B5, Canada

Conference Registration Fees

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REGISTER HERE

Accommodation

There are many fine hotels, inns, and B&Bs within walking distance of the conference center. We encourage you to arrange accommodation that is to your liking and within your budget. Quebec is a popular destination in late summer. Book your room early!

Hilton Québec

Delta Hotels Québec

Québec City Marriott Downtown

Hotel Manoir D’Auteuil

Hôtel Manoir de l’Esplanade

Google Maps with hotels near the Centre des congrès de Québec

We look forward to seeing you online and in Québec!