AMTA 2023: Generative AI and the Future of MT Program
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.
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 |
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 |