Enviaments recents

  • Introduction to the special issue on deep learning approaches for machine translation 

    Ruiz Costa-Jussà, Marta; Allauzen, Alexandre; Barrault, loïc; Cho, Kyunghun; Schwenk, Holger (Elsevier, 2017)
    Article
    Accés restringit per política de l'editorial
    Deep learning is revolutionizing speech and natural language technologies since it is offering an effective way to train systems and obtaining significant improvements. The main advantage of deep learning is that, by ...
  • Pre-processing techniques for improved detection of vocalization sounds in a neonatal intensive care unit 

    Raboshchuk, Ganna; Nadeu Camprubí, Climent; Vidiella Pinto, Sergio; Ros Fornells, Oriol; Muñoz Mahamud, Blanca; Riverola de Veciana, Ana (2018-01-01)
    Article
    Accés restringit per política de l'editorial
    The sounds occurring in the noisy acoustical environment of a Neonatal Intensive Care Unit (NICU) are thought to affect the growth and neurodevelopment of preterm infants. Automatic sound detection in a NICU is a novel and ...
  • Generación morfológica con algoritmos de aprendizaje profundo integrada en un sistema de traducción automática estadística 

    Escolano, Carlos; Ruiz Costa-Jussà, Marta (2017-09-22)
    Article
    Accés obert
    La variación morfológica entre un lenguaje fuente y el lenguaje destino genera dificultades a los algoritmos estándares de traducción como el estadístico basado en segmentos. En este trabajo planteamos dividir la tarea de ...
  • Coverage for character based neural machine translation 

    Kazimi, Bashir; Ruiz Costa-Jussà, Marta (2017-09-22)
    Article
    Accés obert
    In recent years, Neural Machine Translation (NMT) has achieved state-of-the-art performance in translating from a language; source language, to another; target language. However, many of the proposed methods use word ...
  • DeepVoice: tecnologías de aprendizaje profundo aplicadas al procesado de voz y audio 

    Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2017-09-22)
    Article
    Accés obert
    Este proyecto propone el desarrollo de nuevas arquitecturas para el procesado de la voz y el audio mediante métodos de aprendizaje profundo, explorando también nuevas aplicaciones y dando continuidad al trabajo inicial del ...
  • DeepVoice: tecnologías de aprendizaje profundo aplicadas al procesado de voz y audio 

    Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2017-09-01)
    Article
    Accés obert
    This project proposes the development of new deep learning methods for speech and audio processing, exploring new applications and continuing the initial work of the research team and the international community. Research ...
  • Restricted Boltzmann machines for vector representation of speech in speaker recognition 

    Ghahabi, Omid; Hernando Pericás, Francisco Javier (Elsevier, 2018-01)
    Article
    Accés obert
    Over the last few years, i-vectors have been the state-of-the-art technique in speaker recognition. Recent advances in Deep Learning (DL) technology have improved the quality of i-vectors but the DL techniques in use are ...
  • System combination for machine translation for spoken and written language 

    Matusov, Evgeny; Leusch, Gregor; Federico, Marcello; Mariño Acebal, José Bernardo; Ney, Hermann; Bertoldi, Nicola (2008-09-01)
    Article
    Accés restringit per política de l'editorial
    This paper describes a recently developed method for computing a consensus translation from the outputs of multiple machine translation (MT) systems. A possibly new translation hypothesis can be produced as a result of ...
  • Tradares: A tool for the automatic evaluation of human translation quality within an MOOC environment 

    Betanzos, Miguel; Ruiz Costa-Jussà, Marta; Belanche Muñoz, Luis Antonio (2017-05-13)
    Article
    Accés restringit per política de l'editorial
    In this paper, we introduce TradARES, a tool for the automatic evaluation of human translation quality developed in the context of an OpenEdx MOOC (Massive Open Online Course), setting the foundation for a tool that provides ...
  • Towards human linguistic machine translation evaluation 

    Ruiz Costa-Jussà, Marta; Farrus, Mireia (2013-12-01)
    Article
    Accés obert
    When evaluating machine translation outputs, linguistics is usually taken into account implicitly. Annotators have to decide whether a sentence is better than another or not, using, for example, adequacy and fluency criteria ...

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