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Description
  • Europe faces a growing economic and societal challenge due to its vast diversity of languages, and machine translation technology holds promise as a means to address this challenge. The goals of EUROMATRIXPLUS are: Firstly, the project will continue the rapid advance of machine translation technology, creating example systems for every official EU language, and providing other machine translation developers with our infrastructure for building statistical translation models. Secondly, the project will continue and broaden the controlled systematic investigation of different approaches and techniques to accelerate the scientific evolution of novel methods, including both selection and cross-fertilization. The aim is to arrive at scientifically well understood novel combinations of methods that are provenly superior to the state of the art. Thirdly, the project will focus on bringing machine translation to the users, in addition to focusing on scientific advances. Because our statistical mode (en)
  • Europe faces a growing economic and societal challenge due to its vast diversity of languages, and machine translation technology holds promise as a means to address this challenge. The goals of EUROMATRIXPLUS are: Firstly, the project will continue the rapid advance of machine translation technology, creating example systems for every official EU language, and providing other machine translation developers with our infrastructure for building statistical translation models. Secondly, the project will continue and broaden the controlled systematic investigation of different approaches and techniques to accelerate the scientific evolution of novel methods, including both selection and cross-fertilization. The aim is to arrive at scientifically well understood novel combinations of methods that are provenly superior to the state of the art. Thirdly, the project will focus on bringing machine translation to the users, in addition to focusing on scientific advances. Because our statistical mode
Title
  • EuroMatrixPlus—Bringing Machine Translation for European Languages to the User (en)
  • EuroMatrixPlus—Bringing Machine Translation for European Languages to the User
skos:notation
  • 7E09003
http://linked.open...avai/cep/aktivita
http://linked.open...kovaStatniPodpora
http://linked.open...ep/celkoveNaklady
http://linked.open...datumDodatniDoRIV
http://linked.open...i/cep/druhSouteze
http://linked.open...ep/duvernostUdaju
http://linked.open.../cep/fazeProjektu
http://linked.open...ai/cep/hlavniObor
http://linked.open...hodnoceniProjektu
http://linked.open...vai/cep/kategorie
http://linked.open.../cep/klicovaSlova
  • natural language processing; machine translation; statistical methods in NLP; corpora; treebanks; evaluation (en)
http://linked.open...ep/partnetrHlavni
http://linked.open...inujicichPrijemcu
http://linked.open...cep/pocetPrijemcu
http://linked.open...ocetSpoluPrijemcu
http://linked.open.../pocetVysledkuRIV
http://linked.open...enychVysledkuVRIV
http://linked.open...lneniVMinulemRoce
http://linked.open.../prideleniPodpory
http://linked.open...iciPoslednihoRoku
http://linked.open...atUdajeProjZameru
http://linked.open...usZobrazovaneFaze
http://linked.open...ai/cep/typPojektu
http://linked.open...ep/ukonceniReseni
http://linked.open.../cep/vedlejsiObor
http://linked.open...ep/zahajeniReseni
http://linked.open...jektu+dodavatelem
  • Following the condition that the candidate of financial contribution was evaluated and afterwards selected by international provider in accordance with the rules of the program the Ministry of Education, Youth ans Sports does not realize the evaluation of project results. The project is evaluated only after its approval by an international provider. (en)
  • Hodnocení výsledků řešení ministerstvo neprovádí, neboť podmínkou podpory je, že uchazeč byl vybrán mezinárodním poskytovatelem v souladu s pravidly příslušného programu. Projekt je hodnocen až po jeho schválení mezinárodním poskytovatelem. (cs)
http://linked.open...tniCyklusProjektu
http://linked.open...n/vavai/cep/vyzva
http://linked.open.../cep/klicoveSlovo
  • natural language processing
  • corpora
  • machine translation
  • statistical methods in NLP
  • treebanks
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