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    •   RIUMA Principal
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    Multilingual data collection for multiple corpus-based approaches to translation and interpretation

    • Autor
      Pereira Gomes Da Costa, Hernani
    • Director/es
      Corpas-Pastor, GloriaAutoridad Universidad de Málaga; Mitkov, Ruslan VakovAutoridad Universidad de Málaga; Seghiri-Domínguez, MíriamAutoridad Universidad de Málaga
    • Fecha
      2019
    • Editorial/Editor
      UMA Editorial
    • Palabras clave
      Linguística computacional - Tesis doctoral; Traducción e interpretación - Tesis doctoral
    • Resumen
      Corpora are playing an increasingly important role in our multilingual society. High-quality parallel corpora are a preferred resource in the language engineering and the linguistics communities. Nevertheless, the lack of sufficient and up-to-date parallel corpora, especially for narrow domains and poorly-resourced languages is currently one of the major obstacles to further advancement across various areas like translation, language learning and, automatic and assisted translation. An alternative is the use of comparable corpora, which are easier and faster to compile. Corpora, in general, are extremely important for tasks like translation, extraction, inter-linguistic comparisons and discoveries or even to lexicographical resources. Its objectivity, reusability, multiplicity and applicability of uses, easy handling and quick access to large volume of data are just an example of their advantages over other types of limited resources like thesauri or dictionaries. By a way of example, new terms are coined on a daily basis and dictionaries cannot keep up with the rate of emergence of new terms.
    • URI
      https://hdl.handle.net/10630/19358
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    Ficheros
    TD_PEREIRA_GOMES_DA_COSTA_Hernani.pdf (13.23Mb)
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    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA