AMTA 2024

16th biennial conference of the Association for Machine Translation in the Americas

---

Location

• Chicago, Illinois

Links

• amtaweb.org/amta-2024/

Important Dates

Submission deadline	06 June
Notification of acceptance	18 July
Final “camera-ready” papers for proceedings	16 September

Schedule

Tutorial day

08:45 - 09:00	Opening remarks and housekeeping
09:00	12:00	Session 1
	Bias in machine translation: challenges, techniques, perspectives Michal Měchura
	Edit distances and their application to downstream tasks, in research and commercial contexts Félix do Carmo, Diptesh Kanojia
	Controlling LMM Translations of Invariant Elements via RAG Sara Zanzottera, Bruno Bitter, Christian Lang
	Best Practices in Prompt Engineering for the Globalization Lifecycle Marina Sanchez Torron, Mei Chai Zheng, Alex Yanishevsky, Jason Rauchwerk, Jennifer Wong
12:00 - 13:00	Keynote Knowledge Graphs: There’s more to translation than slinging strings Mike Dillinger
14:00 - 17:00	Quick-Start Guide to Understanding & Working with MT & AI Adam Wooten
	Best Practices for Automated Interpreting Implementation Hélène Pielmeier, Aki Hayashi, Saul Leal
	Multilingual Technologies for Localization in 2024 Konstantin Savenkov

Main Conference

Day 1

07:30 - 09:00	Continental Breakfast
09:00 - 09:30	Opening Remarks Jay Marciano
09:30 - 10:15	Keynote Address Translation and Multilinguality in the Age of Large Language Models Philipp Koehn
10:15 - 11:00	Panel Discussion AMTA Presidents Panel Steve Richardson, Alon Lavie, Philipp Koehn 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 Marta Castello	Room 1
11:55 - 12:15	Labels on Translation Output: a triple win Alan K Melby	Room 1
12:20 - 12:40	Position Paper: Should Machine Translation be Labelled as AI-Generated Content? Michel Simard	Room 1
11:30 - 11:50	Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation 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 Ming Qian	Room 2
12:20 - 12:40	How Effective is Synthetic Data and Instruction Fine-tuning for Translation with Markup using LLMs? Hideki Tanaka	Room 2
12:40 - 14:00	🍴
14:00 - 14:20	Evaluation Briefs: Drawing on Translation Studies for Human Evaluation of MT Ting Liu	Room 1
14:25 - 14:45	MT Quality Evaluation and Quality Assurance in the Generative-AI Age Benjamin K. Tsou	Room 1
14:50 - 15:15	The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control Serge Gladkoff	Room 1
14:00 - 14:20	The Evolving Path to LLM-based MT 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 Ming Qian	Room 2
14:50 - 15:15	The Translator’s Canvas: Using LLMs to Enhance Poetry Translation Natalia Resende	Room 2
15:15 - 15:45	☕️
15:45 - 16:05	Improving Rare Word Translation With Dictionaries and Attention Masking Ken Sible	Room 1
16:10 - 16:30	Some Tradeoffs in Continual Learning for Parliamentary Neural Machine Translation Systems 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 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 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 Maciej Modrzejewski	Room 2
16:35 - 15:00	Enhancing Translation Accuracy and Consistency through Large Language Models Mei Chai Zheng	Room 2

Day 2

07:30 - 09:00	Continental Breakfast
09:00 - 09:20	Word-level Translation Quality Estimation Based on Optimal Transport Yuto Kuroda	Room 1
09:25 - 09:45	Leveraging LLMs for MT in Crisis Scenarios: a blueprint for low-resource languages 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 Lifeng Han	Room 1
10:15 - 10:35	Entropy– and Distance-Regularized Attention Improves Low-Resource Neural Machine Translation Ali Araabi	Room 1
09:00 - 09:20	Impact of Syntactic Complexity on the Processes and Performance of Large Language Models-leveraged Post-editing Longhui Zou	Room 2
09:25 - 09:45	On Translating Technical Terminology: A Translation Workflow for Machine-Translated Acronyms Richard Yue	Room 2
09:50 - 10:10	Enhancing Consistency Through Prompt-Tuning for Style Guide Adaptation Zidian (Rosetta) Guo	Room 2
10:15 - 10:35	Adding multimodal capabilities to a text-only translation model 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 Ali Hatami	Room 1
11:55 - 12:15	Detecting concrete visual tokens for Multimodal Machine Translation Braeden Bowen	Room 1
12:20 - 12:40	Can Synthetic Speech Improve End-to-End Conversational Speech Translation? Bismarck Bamfo Odoom	Room 1
11:30 - 11:50	PREDICT Methodology – Machine Translation Eligibility Criteria Paula Manzur	Room 2
11:55 - 12:15	Comparative Evaluation of Large Language Models for Linguistic Quality Assessment in Machine Translation Daria Sinitsyna	Room 2
12:20 - 12:40	Open-source LLMs vs. NMT Systems: Translating Spatial Language in EN-PT-br Subtitles 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 From Dictionaries to Data Engineering: Reinventing a 500-year-old language provider in age of AI Casper Grathwohl
16:15 - 17:00	AMTA Best Thesis Award Presentation Detecting Fine-Grained Semantic Divergences to Improve Translation Understanding Across Languages Eleftheria Briakou
18:30 - 21:00	🍴

Day 3

07:30 - 09:00	Continental Breakfast
09:00 - 09:15	Remarks
09:15 - 10:00	Keynote Address Unlocking Enterprise Translation Hyper-Automation with LLMs Alon Lavie
10:00 - 10:45	Second Panel Discussion Opportunities and Challenges for MT in Government Marianna Martindale, Michel Simard, David Kim
10:45 - 11:15	☕️
11:15 - 11:35	Is AI the new ”Human evaluator”? Aneta Sapeta	Room 1
11:40 - 12:00	Academia & Business: How Quality Assurance can Merge Two Rivals Patry Muñoz Andrés	Room 1
12:05 - 12:30	Leveraging AI Technologies for Enhanced Multimedia Localization Ashley T Mondello	Room 1
11:15 - 11:35	Best Practices of Successive Halving on Neural Machine Translation and Large Language Models Xuan Zhang	Room 2
11:40 - 12:00	Predicting Anchored Text from Translation Memories for Machine Translation Using Deep Learning Methods 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 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 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 Vera Senderowicz	Room 1
14:50 - 15:10	An Evaluation of English to Spanish Medical Translation by Large Language Models 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 Arle R Lommel	Room 2
14:50 - 15:10	State of Machine Translation 2024 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

Proceedings

AMTA 2024 Research Track AMTA 2024 Presentations Track

Call for papers

amtaweb.org/amta-2024-call-for-proposals/

At AMTA 2024, proposals are not submitted under different tracks. Instead, there is a choice between review methods:

• A peer-review for academic paper
• A less rigorous review for other submissions

Topics

• Latest advances in machine translation
• Using Large Language Models for translation, transcreation, and other cross-lingual use cases
• Training Data: data sources, extraction, alignment, and cleaning of corpora, terminology, data augmentation, metadata extraction, multimodal data, and more
• Adaptation and customisation of machine translation models or LLMs for cross-lingual use cases
• Augmenting machine translation with machine learning, natural language processing or generative AI
• Comparative evaluation of machine translation systems
• Machine translation for low resource languages
• Model distillation, compression, and on-device machine translation
• Machine translation in production scenarios, robustness and deployment issues.
• Machine translation for multiple modalities (speech, sign language, video, and more)
• Machine translation for real-time communication (chats, social networks, and more)
• Integration of machine translation and related cross-lingual technologies in translation and localisation pipelines
• Output quality estimation and evaluation: tools, methods, and metrics, such as human evaluations, automatic scoring, and automatic annotation of machine translation output
• Detecting and preventing catastrophic errors in output
• Measuring fairness, bias, and transparency in output
• Post-editing and human-in-the-loop methods: New approaches, successes and failures, applicability to different content-types, etc.
• The interaction of language professionals (translators and interpreters) with machine translation and generative AI tools and output
• Advanced machine translation fine-tuning and enhancement: including pre- and post-processing; controlling style, tone of voice, gender
• Interactive and real-time adaptive machine translation systems: including advanced approaches to leverage TM and end-user feedback
• Business Cases: making the business case for adopting machine translation and related cross-lingual technologies to drive business requirements
• Ethics, policy, and regulatory trends concerning the use of machine translation or generative AI for cross-lingual use cases
• Cross-language information retrieval
• Source text improvement: improving the source content destined for machine translation through automatic tools such as grammar correction, guidelines, and NLP

Call for tutorials

amtaweb.org/1st-cfp-for-workshops-tutorials/

Focus areas for tutorials are the same as for the main conference.

To submit a tutorial, authors must send this information to [email protected]:

• Title of Tutorial
• Description of proposed content (250 – 500 words)
• Short biography of presenter/s (up to 100 words)
• Any technical requirements for attendees

Important dates

Submission deadline	6 June
Notification of acceptance	18 July
Final “camera-ready” papers for proceedings	16 August

Call for workshops

amtaweb.org/1st-cfp-for-workshops-tutorials/

Focus areas for workshops are the same as for the main conference.

To submit a workshop, authors must send this information to [email protected]:

• Title of Workshop
• Description of proposed content (250 – 500 words)
• Short biography of presenter/s (up to 100 words)
• Any technical requirements for attendees

Important dates

Submission deadline	6 May
Notification of acceptance	on a rolling basis
Final “camera-ready” papers for proceedings	16 August

Call for Best Thesis Award

Eligibility

• Completed a PhD dissertation/thesis on or after June 1st, 2023 and before June 1st, 2024 on a relevant topic (see below) at an institution in the Americas
• Have not previously won an international award for the thesis
• If the winning student goes on to publish their thesis, the published version must carry the note that it received this award from AMTA. The submitter also gives AMTA the right to publicize the granting of the award.

Prize

• $1000 USD prize
• Invitation to present dissertation work at the 2024 AMTA Conference as an invited talk
• Summary of the dissertation included in the 2024 AMTA proceedings
• Free 2024 AMTA Conference registration
• Free AMTA membership for the upcoming membership period

Important dates

Submission deadline	6 May
Notification of acceptance	on a rolling basis
Final “camera-ready” papers for winning submission	16 August