Year: 2019
Type: conference-paper
Abstract: Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, Shervin Malmasi, Christof Monz, Mathias Müller, Santanu Pal, Matt Post, Marcos Zampieri. Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1). 2019.
DOI: 10.18653/v1/w19-5301
Institutions: Le Mans Université, Charles University, Universitat Politècnica de Catalunya, Microsoft (United States), Ludwig-Maximilians-Universität München, University of Tartu, Dublin City University, University of Edinburgh, Harvard University, University of Amsterdam, University of Zurich, Saarland University, Johns Hopkins University, University of Wolverhampton
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Funders: European Commission, Science Foundation Ireland, Dublin City University, Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche, Grantová Agentura České Republiky, Bundesministerium für Bildung und Forschung, Ministerio de Economía y Competitividad, Connecting Europe Facility, European Regional Development Fund, Agencia Estatal de Investigación
Awards: G2013990169, G228147372, G2563910032, G2888922458, G3375958958, ADAPT: Centre for Digital Content Platform Research, G434337789, DEEPLEE - Tiefes Lernen für End-to-End-Anwendungen in der Sprachtechnologie, Neural Representations in Multi-modal and Multi-lingual Modeling, Global Under-Resourced MEedia Translation, Browser-based Multilingual Translation, Autonomous Lifelong learnIng intelLigent Systems
OpenAlex ID: W2970279348