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Browsing Congressos (Departament de Traducció i Ciències del Llenguatge) by Author "Fomicheva, Marina"

Browsing Congressos (Departament de Traducció i Ciències del Llenguatge) by Author "Fomicheva, Marina"

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  • Boosting the creation of a treebank
    Arias Badia, Blanca; Bel Rafecas, Núria; Fomicheva, Marina; Larrea Mendizabal, Imanol; Lorente, Mercè; Marimon, Montserrat; Milà-Garcia, Alba; Vivaldi, J. (Jorge), 1952-; Padró, Muntsa (ELRA (European Language Resources Association), 2014)
    We present the results of the experiment of bootstrapping a Treebank for Catalan by using a Dependency Parser trained with Spanish sentences. In order to save time and cost, our approach was to profit from the typological ...
  • CobaltF: a fluent metric for MT evaluation
    Fomicheva, Marina; Bel Rafecas, Núria; Specia, Lucia; da Cunha Fanego, Iria; Malinovskiy, Anton (ACL (Association for Computational Linguistics), 2016)
    The vast majority of Machine Translation (MT) evaluation approaches are based on the idea that the closer the MT output is to a human reference translation, the higher its quality. While translation quality has two ...
  • Neutralizing the effect of translation shifts on automatic machine translation evaluation
    Fomicheva, Marina; Bel Rafecas, Núria; da Cunha Fanego, Iria (Springer, 2015)
    State-of-the-art automatic Machine Translation [MT] evaluation is based on the idea that the closer MT output is to Human Translation [HT], the higher its quality. Thus, automatic evaluation is typically approached by ...
  • Reference bias in monolingual machine translation evaluation
    Fomicheva, Marina; Specia, Lucia (ACL (Association for Computational Linguistics), 2016)
    In the translation industry, human translations are assessed by comparison with the source texts. In the Machine Translation (MT) research community, however, it is a common practice to perform quality assessment using a ...
  • UPF-cobalt submission to WMT15 metrics task
    Fomicheva, Marina; Bel Rafecas, Núria; da Cunha Fanego, Iria; Malinovskiy, Anton (ACL (Association for Computational Linguistics), 2015)
    An important limitation of automatic evaluation metrics is that, when comparing Machine Translation (MT) to a human reference, they are often unable to discriminate between acceptable variation and the differences that are ...

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