The EAMT invites everyone interested in machine translation and translation-related tools and resources to participate in this conference ― developers, researchers, users, professional translators, managers, marketing experts: anyone who has a stake in the vision of an information world in which language issues become transparent to the information consumer. We especially invite users from government and the translation industry to share their experiences, researchers to describe the state of the art and demonstrate their cutting-edge results, researchers and developers looking towards new capabilities, and visionaries to describe the future.
We expect to receive manuscripts in these three categories:
(R) Research papers: Long-paper submissions (8 pages) are invited for reports of significant research results in any aspect of machine translation and related areas. Such reports should include a substantial evaluation component. Contributions are welcome on all topics in the area of Machine Translation or translation-related technologies, including:
- MT methodologies and techniques
- Speech translation: speech to text, speech to speech
- Translation aids (translation memory, terminology databases, etc.)
- Translation environments (workflow, support tools, conversion tools for lexica, etc.)
- Practical MT systems (MT for professionals, MT for multilingual eCommerce, MT for localization, etc.)
- MT in multilingual public service (eGovernment etc.)
- MT for the web
- MT embedded in other services
- MT evaluation techniques and evaluation results
- Dictionaries and lexica for MT
- Text and speech corpora for MT
- Standards in text and lexicon encoding for MT
- Human factors in MT and user interfaces
- Related multilingual technologies (natural language generation, information retrieval, text categorization, text summarization, information extraction, etc.)
Papers should describe original work. They should emphasize completed work rather than intended work, and should indicate clearly the state of completion of the reported results. Where appropriate, concrete evaluation results should be included.
(U) User studies: Short-paper submissions (2-4 pages) are invited for reports on users' experiences with MT, in business, government, or NGOs. Contributions are welcome on:
- Use of MT to provide localization of data-driven, dynamic, or user-specific information
- Use of MT to reduce localization effort (time, cost)
- Use of MT in collaborative projects and social networking
- Ways in which MT can be used to increase the scope of globalization projects
- Managing change when implementing MT systems. Challenges (IT, personnel, implementation)
- Integrating MT and computer-assisted translation into a translation production workflow
- Implementing open- source MT in the corporation: challenges when taking pilot results into full deployment (support, resources, infrastructure, advance customisation, system maintenance)
- Evaluation of MT in a real-world setting: metrics
- Post-editing strategies: guidelines/support for translators/LSPs
- Portability of MT systems across languages and domains
Papers should highlight problems and solutions and not merely describe MT integration process or project settings. For user papers produced by academics, we require co-authorship with the actual users.
(P) Project/Product description: Abstract submissions (1 page) are invited to report new, interesting:
- Tools for machine translation, computer aided translation, and the like (including commercial products and open source software). The authors should be ready to present the tools in the form of demos or posters during the conference.
- Research projects related to machine translation. The authors should be ready to present the projects in the form of posters during the conference. This follows on from the successful ‘project villages’ held at the last two EAMT conferences.
Programme: The 2½-day programme will include invited talks, oral presentations and poster sessions. Accepted long papers may be assigned to an oral or poster session, but no differentiation will be made in the conference proceedings.