SoylentNews

fork(2) [soylentnews.org] writes:

      Phys.org [phys.org] reports on deep learning projects.

The aim of their collaboration is to achieve machine-based translation between the languages of the European Union so that comprehensible texts are achieved for as many language combinations as possible. Two of the EU-funded research projects are being led by the Saarbrucken computer linguist Josef van Genabith.

      [...]

      QT21 is a consortium of fourteen leading research institutions for machine translation in Europe and Hong Kong that includes universities, research institutes, such as DFKI, and numerous companies. "Our common goal is to exploit machine learning to significantly improve automatic translation, particularly of more complex languages such as Latvian or Czech," says van Genabith, who heads the project, which was rolled out a year ago. The European Union has approved a total of 3.9 million euros for the three-year project, of which around one million has been allocated to Saarbrucken.

      The European Language Resources Coordination (ELRC) is a second project lead by DFKI and Josef van Genabith in which a European consortium has been contracted by the European Commission to collect suitable language data sets that will enable the European Commission's automated translation platform (CEF AT) to be adapted and optimized for the daily requirements of public administrators in all EU Member States as well as Iceland and Norway. ELRC is one of the most comprehensive collections of language data worldwide.

      [...]

      Research results in machine translation will be presented at the annual meeting of the Association for Computational Linguistics (ACL) which will take place August 7- 12, 2016 at the Humboldt University in Berlin (acl2016.org). The scientists will present the results of an international competition on machine translation in a workshop at the conference: http://www.statmt.org/wmt16 [statmt.org]

Original Submission