META-NET SRA: Roadmaps
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This sheet presents work in progress. It contains the current state of discussion in the ongoing roadmapping activity carried out within the framework of the META-NET initiative. If you would like to provide input to this sheet, modify certain areas or suggest new pieces of content, please get in touch with office@meta-net.eu in order to gain read/write access to this sheet.
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Priority Research Theme 1: Translingual Cloud
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More information:META-NET Strategic Research Agenda, Section 6.2
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http://www.meta-net.eu/vision/reports/meta-net-sra-version_1.0.pdf
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Latest presentation:http://www.meta-net.eu/events/meta-net-ga-2013/talks/Roadmap-JanHajic.pdf
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Research PriorityPhase 1: 2013-2014Phase 2: 2015-2017Phase 3: 2018-2020
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Immediate affordable translation in any needed quality level (from sufficient to high)Development of necessary monolingual language tools (analysis, generation) driven by MT needs; exploitation of novel ML techniques for MT purposes, using large LR and semantic resources, including Linked Open Data and other naturally occuring semantic and knowledge resources (re-purposing for MT and NLP use); experiment with novel metrics, automated, human-centered, or hybrid; use EU languages, identify remaining gaps (LR resources, tools)Concentrate on HQMT systems using results of Phase 1; deepen development of MT-related monolingual tools; employ novel techniques aimed at HQMT, combination of systems, domain adaptation, cross-language adaptation; develop show- cases for novel translation workflow; use novel metrics identified as correlated with the aims of HQMT; continue development on EU languages, identify needs for non-EU languages (MT-related) and their gapsDeployment of MT systems in particular applications requiring HQMT, such as technology export, government and public information systems, private services, medical applications etc., using novel translation workflows where appropriate; application- and user-based evaluation driven engagement of core and supplemental technologies; coverage of EU languages and other languages important for EU business and policy
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Delivering multi-media content in any language (captioning, subtitling, dubbing )Multi-media system prototypes, combining language, speech, image and video analysis; employing novel techniques (machine learning, cross-fertilisation of features across media types); targeted evaluation metrics for system quality assessment related to MT; aimed at EU languages with sufficient resources; data collection effort to support multi-media analysisPrototype applications in selected domains, such as public service (parliament recordings, sports events, legal proceedings) and other applications (tv archives or movie delivery, online services at content providers); continued effort at multimedia analysis, adding languages as resources become availableDeployment of large-scale applications for multi-media content delivery, public and/or private, in selected domains; development of online services for captioning, subtitling, dubbing, including on-demand translation); new languages for outside-of-the-EU delivery, continued improvement of EU languages
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Cross-lingual knowledge management and linked open dataPublication of multilingual language resources as linked open data as well as linking of resources across languages; develop ontology translation components that can localise ontologies and linked datasets to different languagesDevelop an ecosystem of NLP tools and services that leverage the existing multilingual resources on linked open data; develop new generation of MT technology that can profit from semantic data and linked open dataDevelop methods that allow querying linked open data in different languages
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Avantgarde functionalitiesConsecutive interpretation and translationSynchronous interpretation and translationTranslingual collaborative spaces
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