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AMTA 2023: Generative AI and the Future of MT Program

by | September 14, 2023
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AMTA 2023

Generative AI and the Future of MT

8 November 2023

 

PROGRAM

All times Eastern Standard Time

The program for this stimulating and informative virtual event includes two parallel channels of 20-minute presentations and tutorials, networking opportunities, a panel discussion, and a keynote address.

StartEndChannel 1PresenterTitleChannel 2PresenterTitle
9:3010:00Networking Networking   
10:0010:15WelcomeOrganizersIntroduction, housekeeping   
10:1511:00KeynoteChristian FedermannHype cycle, promising potential and everything in between: MT in the age of LLMs n/an/a
11:1011:30Talk 1Kirti VasheeThe Limits of Language AITalk 2Brendan Hatch, Evelyne TzoukermannEvaluation of a Large Language Model for Speech-to-Text and Speech Translation
11:3511:55Talk 3Konstantin SavenkovLost in GenAI, Found in MTTalk 4Kevin Duh,
Suzanna Sia		On-the-Fly Adaptation for Machine Translation using Large Language Models
12:0012:20Talk 5Adam Bittlingmayer“Self-driving” generative AI: How can we take our hands off the wheel?Talk 6Yuri BalashovDomain and terminology adaptation with large language models: A comparative user study
12:2512:45Talk 7Serge GladkoffAssessing the Accuracy and Uses of a Fine-Tuned LLM’s Prediction of the Need for Human InterventionTalk 8Suzanna SiaAnti-LM Decoding for Zero-shot In-Context Machine Translation
12:4513:15Lunch Networking     
13:1514:00Panel DiscussionDonald Barabé,
Markus Freitag,
Giovanna Lester,
Arle Lommel,
Steve Richardson		Automation and/or Augmentation: “What could AI do on its own?” becomes “What should we do and when? n/an/a
14:0514:25Talk 9Alex YanishevskyThe Promise of a Brand, New Day: Time to Switch to LLMs?Talk 10Marine CarpuatThe Future of MT: from Sequence Transduction to Machine-In-The-Loop Communication Across Languages
14:3014:50Talk 11Sarah Weldon,
Elaine O’Curran		Proposal for a Joint Case Study by Google and Welocalize – Custom TranslationTalk 12Ming QuianPerformance Evaluation on Human-Machine Teaming Augmented Machine Translation Enabled by GPT-4
14:5515:10Talk 13Lucie Bovyn,
Lucía Guerrero		Leveraging ChatGPT machine translation capabilities for UGCTalk 14Sharon O’BrienHuman-Centered Augmented Translation
15:1515:35Talk 15Jay MarcianoMindful AI: Establishing an effective AI Ethics BoardTalk 16Albert LLorensImproving Machine Translation Quality with Contextual Prompts in Large Language Models
15:3515:50Coffee Networking     
15:5016:30Tutorial 1Mei Chai ZhengPrompt Engineering 101Tutorial 2Luciana RamosFive daily linguistic tasks enhanced by generative AI + MT solutions
16:3516:55Talk 17Chris KränzlerLearnings from a Year of Generative AI: Customers need Control, Customizability, Contextualization, Transparency, and SecurityTalk 18Beatriz Silva, et alCultural Transcreation for East Asian Languages with LLMs
17:0017:20Talk 19Jennifer WongExploring Product Management for Machine Learning ProductsTalk 20Natalia ResendeFreely Available LLMs and Poetry Translation: A Game Changer?
17:2517:45Talk 21Martin Lei XiaoEmbrace LLM: Opportunities and ChallengesTalk 22Robert BrodowiczUsing LLMs to Automate Multilingual QAs
17:5018:10ClosingOrganizersThanks and Introduce AMTA Thesis Award n/an/a
18:1019:00Afterhours Networking     
Start End Channel 1 Presenter Title Channel 2 Presenter Title
9:30 10:00 Networking Networking
10:00 10:15 Welcome Organizers Introduction, housekeeping
10:15 11:00 Keynote Christian Federmann Hype cycle, promising potential and everything in between: MT in the age of LLMs n/a n/a
11:10 11:30 Talk 1 Kirti Vashee The Limits of Language AI Talk 2 Brendan Hatch, Evelyne Tzoukermann Evaluation of a Large Language Model for Speech-to-Text and Speech Translation
11:35 11:55 Talk 3 Konstantin Savenkov Lost in GenAI, Found in MT Talk 4 Kevin Duh, Suzanna Sia On-the-Fly Adaptation for Machine Translation using Large Language Models
12:00 12:20 Talk 5 Adam Bittlingmayer “Self-driving” generative AI: How can we take our hands off the wheel? Talk 6 Yuri Balashov Domain and terminology adaptation with large language models: A comparative user study
12:25 12:45 Talk 7 Serge Gladkoff Assessing the Accuracy and Uses of a Fine-Tuned LLM’s Prediction of the Need for Human Intervention Talk 8 Suzanna Sia Anti-LM Decoding for Zero-shot In-Context Machine Translation
12:45 13:15 Lunch Networking
13:15 14:00 Panel Discussion Donald Barabé, Markus Freitag, Giovanna Lester, Arle Lommel, Steve Richardson Automation and/or Augmentation: “What could AI do on its own?” becomes “What should we do and when? n/a n/a
14:05 14:25 Talk 9 Alex Yanishevsky The Promise of a Brand, New Day: Time to Switch to LLMs? Talk 10 Marine Carpuat The Future of MT: from Sequence Transduction to Machine-In-The-Loop Communication Across Languages
14:30 14:50 Talk 11 Sarah Weldon, Elaine O’Curran Proposal for a Joint Case Study by Google and Welocalize – Custom Translation Talk 12 Ming Quian Performance Evaluation on Human-Machine Teaming Augmented Machine Translation Enabled by GPT-4
14:55 15:10 Talk 13 Lucie Bovyn, Lucía Guerrero Leveraging ChatGPT machine translation capabilities for UGC Talk 14 Sharon O’Brien Human-Centered Augmented Translation
15:15 15:35 Talk 15 Jay Marciano Mindful AI: Establishing an effective AI Ethics Board Talk 16 Albert LLorens Improving Machine Translation Quality with Contextual Prompts in Large Language Models
15:35 15:50 Coffee Networking
15:50 16:30 Tutorial 1 Mei Chai Zheng Prompt Engineering 101 Tutorial 2 Luciana Ramos Five daily linguistic tasks enhanced by generative AI + MT solutions
16:35 16:55 Talk 17 Chris Kränzler Learnings from a Year of Generative AI: Customers need Control, Customizability, Contextualization, Transparency, and Security Talk 18 Beatriz Silva, et al Cultural Transcreation for East Asian Languages with LLMs
17:00 17:20 Talk 19 Jennifer Wong Exploring Product Management for Machine Learning Products Talk 20 Natalia Resende Freely Available LLMs and Poetry Translation: A Game Changer?
17:25 17:45 Talk 21 Martin Lei Xiao Embrace LLM: Opportunities and Challenges Talk 22 Robert Brodowicz Using LLMs to Automate Multilingual QAs
17:50 18:10 Closing Organizers Thanks and Introduce AMTA Thesis Award n/a n/a
18:10 19:00 Afterhours Networking
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