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url: https://amtaweb.org | ||
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## Schedule | ||
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### Tutorial day | ||
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| --- | --- | | ||
| 08:45 - 09:00 | **Opening remarks and housekeeping** | | ||
| 09:00 | 12:00 | **Session 1** | | ||
| | **Bias in machine translation: challenges, techniques, perspectives** <br>Michal Měchura | | ||
| | **Edit distances and their application to downstream tasks, in research and commercial contexts** <br>Félix do Carmo, Diptesh Kanojia | | ||
| | **Controlling LMM Translations of Invariant Elements via RAG** <br>Sara Zanzottera, Bruno Bitter, Christian Lang | | ||
| | **Best Practices in Prompt Engineering for the Globalization Lifecycle** <br>Marina Sanchez Torron, Mei Chai Zheng, Alex Yanishevsky, Jason Rauchwerk, Jennifer Wong | | ||
| 12:00 - 13:00 | **Keynote** <br>**Knowledge Graphs: There’s more to translation than slinging strings** <br>Mike Dillinger | | ||
| 14:00 - 17:00 | **Quick-Start Guide to Understanding & Working with MT & AI** <br>Adam Wooten | | ||
| | **Best Practices for Automated Interpreting Implementation** <br>Hélène Pielmeier, Aki Hayashi, Saul Leal | | ||
| | **Multilingual Technologies for Localization in 2024** <br>Konstantin Savenkov | | ||
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### Main Conference | ||
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Day 1 | ||
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| | | | | ||
| --- | --- | --- | | ||
| 07:30 - 09:00 | **Continental Breakfast** | | | ||
| 09:00 - 09:30 | **Opening Remarks** <br>Jay Marciano | | | ||
| 09:30 - 10:15 | **Keynote Address** <br>**Translation and Multilinguality in the Age of Large Language Models** <br>Philipp Koehn | | | ||
| 10:15 - 11:00 | **Panel Discussion** <br>**AMTA Presidents Panel** <br>Steve Richardson, Alon Lavie, Philipp Koehn <br>Moderator: Jay Marciano | | | ||
| 11:00 - 11:30 | ☕️ | | | ||
| 11:30 - 11:50 | [**Examining Cognitive Biases in ChatGPT 3.5 and ChatGPT 4 through Human Evaluation and Linguistic Comparison**](https://aclanthology.org/2024.amta-research.21.pdf) <br>Marta Castello | Room 1 | | ||
| 11:55 - 12:15 | [**Labels on Translation Output: a triple win**](https://aclanthology.org/2024.amta-presentations.20.pdf) <br>Alan K Melby | Room 1 | | ||
| 12:20 - 12:40 | [**Position Paper: Should Machine Translation be Labelled as AI-Generated Content?**](https://aclanthology.org/2024.amta-research.11.pdf) <br>Michel Simard | Room 1 | | ||
| 11:30 - 11:50 | [**Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation**](https://aclanthology.org/2024.amta-research.9v2.pdf) <br>Javad Pourmostafa, Roshan Sharami | Room 2 | | ||
| 11:55 - 12:15 | [**Automating Idiom Translation with Cross-Lingual Natural Language Generation Grounded In Semantic Analyses Using Large Language Models**](https://aclanthology.org/2024.amta-presentations.7.pdf) <br>Ming Qian | Room 2 | | ||
| 12:20 - 12:40 | [**How Effective is Synthetic Data and Instruction Fine-tuning for Translation with Markup using LLMs?**](https://aclanthology.org/2024.amta-research.8.pdf) <br>Hideki Tanaka | Room 2 | | ||
| 12:40 - 14:00 | 🍴 | | ||
| 14:00 - 14:20 | [**Evaluation Briefs: Drawing on Translation Studies for Human Evaluation of MT**](https://aclanthology.org/2024.amta-research.17.pdf) <br>Ting Liu | Room 1 | | ||
| 14:25 - 14:45 | **MT Quality Evaluation and Quality Assurance in the Generative-AI Age** <br>Benjamin K. Tsou | Room 1 | | ||
| 14:50 - 15:15 | [**The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control**](https://aclanthology.org/2024.amta-presentations.6.pdf) <br>Serge Gladkoff | Room 1 | | ||
| 14:00 - 14:20 | [**The Evolving Path to LLM-based MT**](https://aclanthology.org/2024.amta-presentations.2.pdf) <br>Kirti R Vashee | Room 2 | | ||
| 14:25 - 14:45 | [**Exploring the Advantages and Challenges of a Concept-Guided Approach in Large Language Model Aided Machine Translation: Integrating Generative AI And Human-like Cognition**](https://aclanthology.org/2024.amta-research.7.pdf) <br>Ming Qian | Room 2 | | ||
| 14:50 - 15:15 | [**The Translator’s Canvas: Using LLMs to Enhance Poetry Translation**](https://aclanthology.org/2024.amta-research.16.pdf) <br>Natalia Resende | Room 2 | | ||
| 15:15 - 15:45 | ☕️ | | | ||
| 15:45 - 16:05 | [**Improving Rare Word Translation With Dictionaries and Attention Masking**](https://aclanthology.org/2024.amta-research.19.pdf) <br>Ken Sible | Room 1 | | ||
| 16:10 - 16:30 | [**Some Tradeoffs in Continual Learning for Parliamentary Neural Machine Translation Systems**](https://aclanthology.org/2024.amta-research.10.pdf) <br>Rebecca Knowles, Michel Simard | Room 1 | | ||
| 16:35 - 17:00 | [**Staying in the Loop with Gen AI: AI/Gen AI-Powered HLT for Public Sector**](https://aclanthology.org/2024.amta-presentations.1.pdf) <br>Konstantine Boukhvalov | Room 1 | | ||
| 15:45 - 16:05 | [**Language Technology for All: A Critical Evaluation of Leading Language Technology Providers’ Initiatives to Serve Low Resource Languages**](https://aclanthology.org/2024.amta-presentations.18.pdf) <br>Blaise John J Hylak | Room 2 | | ||
| 16:10 - 16:30 | [**Enhancing Localization Workflows with GenAI-Based Solutions: A Deep Dive into Automated Post-Editing and Translation Error Detection**](https://aclanthology.org/2024.amta-presentations.8.pdf) <br>Maciej Modrzejewski | Room 2 | | ||
| 16:35 - 15:00 | [**Enhancing Translation Accuracy and Consistency through Large Language Models**](https://aclanthology.org/2024.amta-presentations.3.pdf) <br>Mei Chai Zheng | Room 2 | | ||
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Day 2 | ||
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| | | | | ||
| --- | --- | --- | | ||
| 07:30 - 09:00 | **Continental Breakfast** | | | ||
| 09:00 - 09:20 | [**Word-level Translation Quality Estimation Based on Optimal Transport**](https://aclanthology.org/2024.amta-research.18.pdf) <br>Yuto Kuroda | Room 1 | | ||
| 09:25 - 09:45 | [**Leveraging LLMs for MT in Crisis Scenarios: a blueprint for low-resource languages**](https://aclanthology.org/2024.amta-research.2.pdf) <br>Séamus Lankford | Room 1 | | ||
| 09:50 - 10:10 | [**{CantonMT}: Cantonese to English NMT Platform with Fine-Tuned Models using Real and Synthetic Back-Translation Data**](https://aclanthology.org/2024.amta-presentations.9.pdf) <br>Lifeng Han | Room 1 | | ||
| 10:15 - 10:35 | [**Entropy– and Distance-Regularized Attention Improves Low-Resource Neural Machine Translation**](https://aclanthology.org/2024.amta-research.13.pdf) <br>Ali Araabi | Room 1 | | ||
| 09:00 - 09:20 | [**Impact of Syntactic Complexity on the Processes and Performance of Large Language Models-leveraged Post-editing**](https://aclanthology.org/2024.amta-presentations.19.pdf) <br>Longhui Zou | Room 2 | | ||
| 09:25 - 09:45 | [**On Translating Technical Terminology: A Translation Workflow for Machine-Translated Acronyms**](https://aclanthology.org/2024.amta-research.6.pdf) <br>Richard Yue | Room 2 | | ||
| 09:50 - 10:10 | [**Enhancing Consistency Through Prompt-Tuning for Style Guide Adaptation**](https://aclanthology.org/2024.amta-presentations.14.pdf) <br>Zidian (Rosetta) Guo | Room 2 | | ||
| 10:15 - 10:35 | [**Adding multimodal capabilities to a text-only translation model**](https://aclanthology.org/2024.amta-research.3.pdf) <br>Jeremy Gwinnup | Room 2 | | ||
| 10:40 - 11:10 | **AMTA Members Meeting** | | | ||
| 11:10 - 11:30 | ☕️ | | | ||
| 11:30 - 11:50 | [**Enhancing Translation Quality by Leveraging Semantic Diversity in Multimodal Machine Translation**](https://aclanthology.org/2024.amta-research.14.pdf) <br>Ali Hatami | Room 1 | | ||
| 11:55 - 12:15 | [**Detecting concrete visual tokens for Multimodal Machine Translation**](https://aclanthology.org/2024.amta-research.4.pdf) <br>Braeden Bowen | Room 1 | | ||
| 12:20 - 12:40 | [**Can Synthetic Speech Improve End-to-End Conversational Speech Translation?**](https://aclanthology.org/2024.amta-research.15.pdf) <br>Bismarck Bamfo Odoom | Room 1 | | ||
| 11:30 - 11:50 | [**PREDICT Methodology – Machine Translation Eligibility Criteria**](https://aclanthology.org/2024.amta-presentations.5.pdf) <br>Paula Manzur | Room 2 | | ||
| 11:55 - 12:15 | [**Comparative Evaluation of Large Language Models for Linguistic Quality Assessment in Machine Translation**](https://aclanthology.org/2024.amta-presentations.12.pdf) <br>Daria Sinitsyna | Room 2 | | ||
| 12:20 - 12:40 | [**Open-source LLMs vs. NMT Systems: Translating Spatial Language in EN-PT-br Subtitles**](https://aclanthology.org/2024.amta-presentations.11.pdf) <br>Rafael M Fernandes | Room 2 | | ||
| 12:45 - 14:15 | 🍴 | | ||
| 14:15 - 14:35 | Demo 1 | | ||
| 14:40 - 15:00 | Demo 2 | | ||
| 14:40 - 15:00 | Demo 4 | | ||
| 15:00 - 15:30 | ☕️ | | | ||
| 15:30 - 16:15 | **Keynote Address** <br>**From Dictionaries to Data Engineering: Reinventing a 500-year-old language provider in age of AI** <br>Casper Grathwohl | | ||
| 16:15 - 17:00 | **AMTA Best Thesis Award Presentation** <br>[**Detecting Fine-Grained Semantic Divergences to Improve Translation Understanding Across Languages**](https://aclanthology.org/2024.amta-research.1.pdf) <br>Eleftheria Briakou | | ||
| 18:30 - 21:00 | 🍴 | | ||
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Day 3 | ||
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| | | | | ||
| --- | --- | --- | | ||
| 07:30 - 09:00 | **Continental Breakfast** | | | ||
| 09:00 - 09:15 | **Remarks** | | | ||
| 09:15 - 10:00 | **Keynote Address** <br>**Unlocking Enterprise Translation Hyper-Automation with LLMs** <br>Alon Lavie | | | ||
| 10:00 - 10:45 | **Second Panel Discussion** <br>**Opportunities and Challenges for MT in Government** <br>Marianna Martindale, Michel Simard, David Kim | | | ||
| 10:45 - 11:15 | ☕️ | | | ||
| 11:15 - 11:35 | [**Is AI the new ”Human evaluator”?**](https://aclanthology.org/2024.amta-presentations.4.pdf) <br>Aneta Sapeta | Room 1 | | ||
| 11:40 - 12:00 | [**Academia & Business: How Quality Assurance can Merge Two Rivals**](https://aclanthology.org/2024.amta-presentations.17.pdf) <br>Patry Muñoz Andrés | Room 1 | | ||
| 12:05 - 12:30 | [**Leveraging AI Technologies for Enhanced Multimedia Localization**](https://aclanthology.org/2024.amta-presentations.10.pdf) <br>Ashley T Mondello | Room 1 | | ||
| 11:15 - 11:35 | [**Best Practices of Successive Halving on Neural Machine Translation and Large Language Models**](https://aclanthology.org/2024.amta-research.12.pdf) <br>Xuan Zhang | Room 2 | | ||
| 11:40 - 12:00 | [**Predicting Anchored Text from Translation Memories for Machine Translation Using Deep Learning Methods**](https://aclanthology.org/2024.amta-research.5.pdf) <br>Richard Yue | Room 2 | | ||
| 12:05 - 12:30 | [**How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes**](https://aclanthology.org/2024.amta-research.20.pdf) <br>Inacio Vieira, Will Allred | Room 2 | | ||
| 12:30 - 14:00 | 🍴 | | ||
| 14:00 - 14:20 | [**Evaluating End-to-End Speech-to-Speech Translation for Dubbing: Challenges and New Metrics**](https://aclanthology.org/2024.amta-presentations.13.pdf) <br>Fred Bane | Room 1 | | ||
| 14:25 - 14:45 | [**From “Comment allez-vous?” to “Comment ça va?”: Leveraging Large Language Models to Automate Formality Adaptation in Translation**](https://aclanthology.org/2024.amta-presentations.16.pdf) <br>Vera Senderowicz | Room 1 | | ||
| 14:50 - 15:10 | [**An Evaluation of English to Spanish Medical Translation by Large Language Models**](https://aclanthology.org/2024.amta-presentations.15.pdf) <br>Nicholas Riina, Likhitha Patlolla | Room 2 | | ||
| 14:25 - 14:45 | **Stakeholder perceptions of machine translation, generative AI, and large language models in a post-localization landscape** <br>Arle R Lommel | Room 2 | | ||
| 14:50 - 15:10 | **State of Machine Translation 2024** <br>Daria Sinitsyna | Room 2 | | ||
| 15:00 - 15:30 | ☕️ | | | ||
| 15:30 - 15:50 | Demo 5 | Room 1 | | ||
| 15:55 - 16:15 | Demo 6 | Room 1 | | ||
| 15:30 - 15:50 | Demo 7 | Room 2 | | ||
| 15:55 - 16:15 | Demo 8 | Room 2 | | ||
| 16:15 - 16:30 | **Closing** | | ||
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## Proceedings | ||
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[AMTA 2024 Research Track](https://aclanthology.org/2024.amta-research.0.pdf) | ||
[AMTA 2024 Presentations Track](https://aclanthology.org/2024.amta-presentations.0.pdf) | ||
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## Call for papers | ||
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[amtaweb.org/amta-2024-call-for-proposals/](https://amtaweb.org/amta-2024-call-for-proposals/) | ||
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| Submission deadline | 6 May | | ||
| Notification of acceptance | on a rolling basis | | ||
| Final “camera-ready” papers for winning submission | 16 August | | ||
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