@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<http://data.loterre.fr/ark:/67375/8LP> a owl:Ontology, skos:ConceptScheme .
<http://data.loterre.fr/ark:/67375/8LP-LX7HJLMC-S>
  skos:prefLabel "méthodes et outils de TAL"@fr, "NLP methods and tools"@en ;
  a skos:Concept ;
  skos:narrower <http://data.loterre.fr/ark:/67375/8LP-GVRK2NVC-3> .

<http://data.loterre.fr/ark:/67375/8LP-GVRK2NVC-3>
  dc:modified "2024-06-10T07:14:09"^^xsd:dateTime ;
  skos:example "The experiments showed that this approach obtains significantly better results than using the maximum mutual information criterion on parameter estimation. (Shen, Sarkar & Och, 2004)"@en, "This is a loosely coupled model since parameter estimation is performed separately for the two sub-models. (Yu & Xie, 2014)"@en, "In order to reach reliable parameter estimations for so many features discriminative training for MT must be scaled to large amount of training data. (Cao & Khudanpur, 2012)"@en, "This alignment however is computed by using the parameter estimations of models that are only a (raw) approximation of the true parameter distributions but are treated as an additional sure knowledge source. (Vilar, Popovic & Ney, 2006)"@en ;
  skos:prefLabel "estimation des paramètres"@fr, "parameter estimation"@en ;
  skos:broader <http://data.loterre.fr/ark:/67375/8LP-LX7HJLMC-S> ;
  a skos:Concept ;
  skos:hiddenLabel "Parameter estimation"@en, "Estimation des paramètres"@fr ;
  skos:inScheme <http://data.loterre.fr/ark:/67375/8LP> .

