AMTA 2023
Generative AI and the Future of Machine Translation
Generative AI and the Future of Machine Translation will take place online on 8 November 2023. It is organised by AMTA.
Generative AI and the Future of Machine Translation will focus on advances in cross-lingual technology and processes that leverage Large Language Models. Moving beyond the explosion of hype that began with the general availability of ChatGPT in November 2022, this event is intended as a forum for a thoughtful exchange of ideas informed by a year of successes and failures in applying Large Language Models to the challenges of cross-lingual communication and data processing.
amtaweb.org/amta-2023-virtual-call-for-proposals/
Generative AI and the Future of Machine Translation will include a keynote talk, expert panel discussions, presentations, tutorials for both beginners and more experienced practitioners, and demonstrations from technology providers.
Important dates
| Submission deadline | |
| Notification of acceptance | |
| 8 November | Conference |
Schedule
| 09:30 - 10:00 | Networking | |
| 10:00 - 10:15 | Introduction, housekeeping | |
| 10:15 - 11:00 | Keynote Christian Federmann | |
| 11:10 - 11:30 | The Limits of Language AI Kirti Vashee | Channel 1 |
| 11:10 - 11:30 | Evaluation of a Large Language Model for Speech-to-Text and Speech Translation Brendan Hatch, Evelyne Tzoukermann | Channel 2 |
| 11:35 - 11:55 | Lost in GenAI, Found in MT Konstantin Savenkov | Channel 1 |
| 11:35 - 11:55 | On-the-Fly Adaptation for Machine Translation using Large Language Models Kevin Duh, Suzanna Sia | Channel 2 |
| 12:00 - 12:20 | “Self-driving” generative AI: How can we take our hands off the wheel? Adam Bittlingmayer | Channel 1 |
| 12:00 - 12:20 | Domain and terminology adaptation with large language models: A comparative user study Yuri Balashov | Channel 2 |
| 12:25 - 12:45 | Assessing the Accuracy and Uses of a Fine-Tuned LLM’s Prediction of the Need for Human Intervention Serge Gladkoff | Channel 1 |
| 12:25 - 12:45 | Anti-LM Decoding for Zero-shot In-Context Machine Translation Suzanna Sia | Channel 2 |
| 12:45 - 13:15 | 🍴 | |
| 13:15 - 14:00 | Panel To be determined | |
| 14:05 - 14:25 | The Promise of a Brand, New Day: Time to Switch to LLMs? Alex Yanishevsky | Channel 1 |
| 14:05 - 14:25 | The Future of MT: from Sequence Transduction to Machine-In-The-Loop Communication Across Languages Marine Carpuat | Channel 2 |
| 14:30 - 14:50 | Proposal for a Joint Case Study by Google and Welocalize - Custom Translation Sarah Weldon, Lena Marg | Channel 1 |
| 14:30 - 14:50 | Performance Evaluation on Human-Machine Teaming Augmented Machine Translation Enabled by GPT-4 Ming Quian | Channel 2 |
| 14:55 - 15:10 | Leveraging ChatGPT machine translation capabilities for UGC Lucie Bovyn | Channel 1 |
| 14:55 - 15:10 | Human-Centered Augmented Translation Sharon O’Brien | Channel 2 |
| 15:15 - 15:35 | Mindful AI: Establishing an effective AI Ethics Board Jay Marciano | Channel 1 |
| 15:15 - 15:35 | Improving Machine Translation Quality with Contextual Prompts in Large Language Models Albert LLorens | Channel 2 |
| 15:35 - 15:50 | ☕️ | |
| 15:50 - 16:10 | Tutorial Prompt Engineering 101 Mei Chai Zheng | Channel 1 |
| 15:50 - 16:10 | Tutorial Five daily linguistic tasks enhanced by generative AI + MT solutions Luciana Ramos | Channel 2 |
| 16:15 - 16:35 | Learnings from a Year of Generative AI: Customers need Control, Customizability, Contextualization, Transparency, and Security Chris Kränzler | Channel 1 |
| 16:15 - 16:35 | Cultural Transcreation for East Asian Languages with LLMs Beatriz Silva, et al | Channel 2 |
| 16:40 - 17:00 | From research to production, releasing AI tools and products at scale / Exploring Product Management for Machine Learning Products Jennifer Wong | Channel 1 |
| 16:40 - 17:00 | Freely Available LLMs and Poetry Translation: A Game Changer? Natalia Resende | Channel 2 |
| 17:05 - 17:25 | Embrace LLM: Opportunities and Challenges Martin Lei Xiao | Channel 1 |
| 17:05 - 17:25 | Using LLMs to Automate Multilingual QAs Robert Brodowicz | Channel 2 |
| 17:30 - 17:45 | Thanks and Introduce AMTA Thesis Award | |
| 17:45 - 19:00 | Afterhours networking |
Last updated on 16 September, 2023, from amtaweb.org/generative-ai-and-the-future-of-machine-translation.
Calls for papers
Submissions
- 20-minute talks (15 minute presentations, 5 minutes for questions)
- 40-minute tutorials (practical description or exercises concerning the use of large language models, generative AI, machine translation, or related tools, processes and technologies for cross-lingual tasks)
Topics
- Open-source large Llanguage models for translation, transcreation, and other cross-lingual use cases
- Adaptation and customization of large language models for cross-lingual use cases
- Combining narrow and large models to improve performance of specific tasks
- Augmenting machine translation systems with generative AI
- Training Data
- Output quality and confidence scoring for cross-lingual tasks
- Challenges to adopting large language models in cross-lingual use cases: Responsible deployment and regulatory considerations of generative AI
- Generative AI use for professional translation
- Business Cases
- Future research directions