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| --- | ||
| parent: Events | ||
| title: AMTA 2024 | ||
| description: 16th biennial conference of the Association for Machine Translation in the Americas | ||
| location: online | ||
| name: AMTA 2024 | ||
| startDate: 2024-09-30 | ||
| seo: | ||
| type: Event | ||
| name: AMTA 2024 | ||
| startDate: 2024-09-30 | ||
| endDate: 2024-10-02 | ||
| eventAttendanceMode: OnlineEventAttendanceMode | ||
| eventStatus: EventScheduled | ||
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| location: | ||
| type: VirtualLocation | ||
| url: https://amtaweb.org | ||
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| organizer: | ||
| type: Organization | ||
| name: Association for Machine Translation in the Americas | ||
| url: https://amtaweb.org | ||
| --- | ||
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| The sixteenth Biennial Conference of the Association for Machine Translation in the Americas (**[AMTA](/amta) 2024**) will be hosted in Chicago, Illinois from 30 September to 2 October, 2024. | ||
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| Workshops and tutorials will take place earlier, mid-September. | ||
| The date is yet to be announced. | ||
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| ## Call for papers | ||
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| [amtaweb.org/amta-2024-call-for-proposals/](https://amtaweb.org/amta-2024-call-for-proposals/) | ||
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| At AMTA 2024, proposals are not submitted under different tracks. | ||
| Instead, there is a choice between review methods: | ||
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| - A peer-review for academic paper | ||
| - A less rigorous review for other submissions | ||
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| ### Topics | ||
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| - 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 | ||
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| ### Important dates | ||
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| | | | | ||
| | --- | --- | | ||
| | Submission deadline | 6 June | | ||
| | Notification of acceptance | 18 July | | ||
| | Final “camera-ready” papers for proceedings | 16 August | | ||
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