AMTA 2025 Virtual: Final Call for Proposals

The Association for Machine Translation in the Americas (AMTA) is pleased to announce the final call for proposals for Emerging AI Breakthroughs and Challenges in Translation Automation, a one-day virtual event to be held on Thursday, 25 September 2025.

This event aims to foster a thoughtful exchange of ideas on the application of technologies like Generative AI, Agentic AI, Large Language Models (LLMs), and Machine Translation in addressing challenges in multilingual communication and translation automation.

We invite researchers, developers, and practitioners to contribute to a substantive dialogue exploring cutting-edge approaches leveraging AI to tackle real-world translation issues, enhance automation pipelines, and build smarter, context-aware, and culturally sensitive systems.

Topics of Interest

Topics of interest might include, but are not limited to:

• The use of Large Language Models for Translation, Transcreation, and other cross- and multilingual tasks: development, deployment, and adaptation to specific use-cases.
• Application of agentic and reasoning LLMs to translation automation: case studies and experiments describing the application of agentive and reasoning LLMs to the generation and execution of dynamic translation workflows.
• Adaptation and customization of large language models for cross- and multilingual use cases: case studies on applying few-shot learning, RAG, prompt-tuning and fine-tuning.
• Combining narrow and large models to improve performance of specific tasks, such as translation, OCR, ASR and others.
• Augmenting MT systems and other Human Language Technologies (HLT) with AI: including approaches to leveraging TM and end-user feedback, classification, context awareness, content moderation, sentiment analysis, domain-specificity, geolocation, summarization.
• Integrating MT into AI-powered TRS workflows: transcription translation and optimization, domain-specific processing, multilingual entity intelligence, summarization and roundup, etc.
• Training Data: data sources, data preparation, terminology, knowledge graphs, data augmentation, multimodal data, etc.
• Output quality and confidence scoring for cross- and multilingual tasks: tools, methods and metrics, such as human evaluations, automatic scoring, reference-based and source-only scoring.
• Challenges to adopting AI in cross- and multilingual use cases: Responsible deployment and regulatory considerations of generative AI (such as technical, ethical, social, legal, and environmental challenges).
• Generative and agentive AI use for professional translation: Approaches, success and failure stories, fair pricing models, and cognitive load.
• Business Cases: making the business case for or against adopting AI to drive business requirements.
• Future research directions: open problems that researchers are/should be considering in this area.

Submission Types

We seek submissions for:

• 20-minute talks: (15 minute presentations, plus 5 minutes for questions)
• 40-minute tutorials: (practical descriptions or exercises concerning the use of generative AI, agentic AI, Machine Translation, and/or related tools, processes and technologies for cross- and multilingual tasks.)

Important Dates

• Submission deadline extension: 30 June 2025 (midnight anywhere in the world)
• Notification of acceptance: 21 July 2025

Submission Instructions

Proposals should be submitted in PDF format by 30 June 2025 (midnight anywhere in the world), to submissions@amtaweb.org and include:

• Title of proposed session
• Type of proposed session (20-minute presentation or 40-minute tutorial)
• A 250-500 word description of the proposed session
• Name and e-mail address of the person who is submitting the proposal
• Name(s) and e-mail address(es) of proposed speakers
• A short (<100 words) biographical introduction to the proposed presenter(s)
• Any special technical requirements you may have

Publication and Recording

Presentation proposals will be reviewed and selected by an AMTA-selected program committee based on submitted, non-anonymous abstracts. Accepted abstracts will be available to conference attendees on the conference platform and will otherwise not be published. Any research papers submitted for presentation will also follow this same process and will not follow a double-blind peer review process. Video recordings will be made of each presentation and will be made available to association members on the AMTA website. Submission of a proposal will be understood by the Organizing Committee as your tacit permission for AMTA to create an audio and video recording of your presentation and make it available to conference attendees and, through archiving, to members of AMTA, EAMT, and AAMT.

Background

AMTA, the Association for Machine Translation in the Americas, is well known for its biennial conferences, held since 1994, and for its sponsorship and organization of the MT Summit. The pace of development in and rapid adoption of AI warranted the organizing and hosting of this virtual event.

Contacts

• Jay Marciano, President ( president@amtaweb.org )
• Alex Yanishevsky, Vice President ( vicepresident@amtaweb.org )
• Marianna Martindale, Secretary ( secretary@amtaweb.org )