About: Pattern REcognition-based Statistically Enhanced MT

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Projekt, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	http://linked.opendata.cz/ontology/domain/vavai/Projekt
rdfs:seeAlso	http://www.isvav.cz/projectDetail.do?rowId=7E10057
Description	This proposal describes PRESEMT, a flexible and adaptable MT system, based on a language-independent method, whose principles ensure easy portability to new language pairs. This method attempts to overcome well-known problems of other MT approaches, e.g. bilingual corpora compilation or creation of new rules per language pair. PRESEMT will address the issue of effectively managing multilingual content and is expected to suggest a language-independent machine-learning-based methodology. The key aspects of PRESEMT involve syntactic phrase-based modelling, pattern recognition approaches (such as extended clustering or neural networks) or game theory techniques towards the development of a language-independent analysis, evolutionary algorithms for system optimisation. It is intended to be of a hybrid nature, combining linguistic processing with the positive aspects of corpus-driven approaches, such as SMT and EBMT. In order for PRESEMT to be easily amenable to new language pairs, relatively inexp (en) This proposal describes PRESEMT, a flexible and adaptable MT system, based on a language-independent method, whose principles ensure easy portability to new language pairs. This method attempts to overcome well-known problems of other MT approaches, e.g. bilingual corpora compilation or creation of new rules per language pair. PRESEMT will address the issue of effectively managing multilingual content and is expected to suggest a language-independent machine-learning-based methodology. The key aspects of PRESEMT involve syntactic phrase-based modelling, pattern recognition approaches (such as extended clustering or neural networks) or game theory techniques towards the development of a language-independent analysis, evolutionary algorithms for system optimisation. It is intended to be of a hybrid nature, combining linguistic processing with the positive aspects of corpus-driven approaches, such as SMT and EBMT. In order for PRESEMT to be easily amenable to new language pairs, relatively inexp
Title	Pattern REcognition-based Statistically Enhanced MT (en) Pattern REcognition-based Statistically Enhanced MT
skos:notation	7E10057
http://linked.open...avai/cep/aktivita	Subvention of the projects of the Seventh Framework Programme of the European Community for research, technological development including demonstration activities (FP7) according to the Czech law 171/2007 Sb.
http://linked.open...kovaStatniPodpora	http://linked.opendata.cz/resource/domain/vavai/projekt/7E10057/celkovaStatniPodpora
http://linked.open...ep/celkoveNaklady	http://linked.opendata.cz/resource/domain/vavai/projekt/7E10057/celkoveNaklady
http://linked.open...datumDodatniDoRIV	2013-06-28 (xsd:date)
http://linked.open...i/cep/druhSouteze	RP - Spolufinancování programu ES
http://linked.open...ep/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open.../cep/fazeProjektu	92903124
http://linked.open...ai/cep/hlavniObor	IN - Informatika
http://linked.open...hodnoceniProjektu	U - Uspěl podle zadání, tj. byly splněny cíle a jeho předpokládané výsledky uvedené ve smlouvě / rozhodnutí o poskytnutí podpory
http://linked.open...vai/cep/kategorie	AP - Aplikovaný výzkum
http://linked.open.../cep/klicovaSlova	machine translation; pattern recognition; SMT; language-independen method; syntactic phrase-based modelling; evolutionary algorithms (en)
http://linked.open...ep/partnetrHlavni	Fakulta informatiky
http://linked.open...inujicichPrijemcu	0 (xsd:int)
http://linked.open...cep/pocetPrijemcu	1 (xsd:int)
http://linked.open...ocetSpoluPrijemcu	0 (xsd:int)
http://linked.open.../pocetVysledkuRIV	1 (xsd:int)
http://linked.open...enychVysledkuVRIV	1 (xsd:int)
http://linked.open...lneniVMinulemRoce	2012-04-18 (xsd:date)
http://linked.open.../prideleniPodpory	http://linked.opendata.cz/resource/domain/vavai/cep/prideleniPodpory/1090%2F2011-321
http://linked.open...iciPoslednihoRoku	2012
http://linked.open...atUdajeProjZameru	2013
http://linked.open...usZobrazovaneFaze	DUU
http://linked.open...ai/cep/typPojektu	P - Projekt výzkumu a vývoje financovaný ze státního rozpočtu
http://linked.open...ep/ukonceniReseni	2012-12-31 (xsd:date)
http://linked.open.../cep/vedlejsiObor	AI - Jazykověda JD - Využití počítačů, robotika a její aplikace
http://linked.open...ep/zahajeniReseni	2010-01-01 (xsd:date)
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	ZBKU
http://linked.open...n/vavai/cep/vyzva	http://linked.opendata.cz/resource/domain/vavai/cep/vyzva/FP7-ICT-2009-4
http://linked.open.../cep/klicoveSlovo	machine translation pattern recognition SMT language-independen method syntactic phrase-based modelling
is http://linked.open...vavai/riv/projekt of	CzAccent - Simple Tool for Restoring Accents in Czech Texts
is http://linked.open...vavai/cep/projekt of	http://linked.opendata.cz/resource/domain/vavai/cep/ucast/7E10057/2010/orjk%3A14330 http://linked.opendata.cz/resource/domain/vavai/cep/ucast/7E10057/2011/orjk%3A14330 http://linked.opendata.cz/resource/domain/vavai/cep/ucast/7E10057/2012/orjk%3A14330 http://linked.opendata.cz/resource/domain/vavai/cep/ucast/7E10057/2013/orjk%3A14330

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