• A Client mobile application for Chinese-Spanish statistical machine translation 

    Centelles, Jordi; Ruiz Costa-Jussà, Marta; Banchs, Rafael E. (2014)
    Texto en actas de congreso
    Acceso abierto
    This show and tell paper describes a client mobile application for Chinese-Spanish machine translation. The system combines a standard server-based statistical machine translation (SMT) system, which requires online ...
  • A Deep source-context feature for lexical selection in statistical machine translation 

    Gupta, Parth; Ruiz Costa-Jussà, Marta; Rosso, Paolo; Banchs, Rafael E. (Elsevier, 2016-05-01)
    Artículo
    Acceso restringido por política de la editorial
    This paper presents a methodology to address lexical disambiguation in a standard phrase-based statistical machine translation system. Similarity among source contexts is used to select appropriate translation units. The ...
  • A MOOC on approaches to machine translation 

    Ruiz Costa-Jussà, Marta; Formiga, Lluís; Torrillas Tostado, Oriol; Petit Silvestre, Jordi; Rodríguez Fonollosa, José Adrián (2015-12-10)
    Artículo
    Acceso abierto
    This paper describes the design, development, and analysis of a MOOC entitled “Approaches to Machine Translation: Rule-based, statistical and hybrid”, and provides lessons learned and conclusions to be taken into account ...
  • A non-linear semantic mapping technique for cross-language sentence matching 

    Banchs, Rafael; Ruiz Costa-Jussà, Marta (2010-08-01)
    Artículo
    Acceso restringido por política de la editorial
  • A Richly annotated, multilingual parallel corpus for hybrid machine translation 

    Avramidis, Elefterios; Ruiz Costa-Jussà, Marta; Federmann, Christian; Melero, Maite; Pecina, Pavel; Van Genabith, Josef (European Language Resources Association (ELRA), 2012)
    Texto en actas de congreso
    Acceso abierto
    In recent years, machine translation (MT) research has focused on investigating how hybrid machine translation as well as system combination approachescan bedesigned so that theresulting hybrid translationsshow an improvement ...
  • An IR-based strategy for supporting Chinese-Portuguese translation services in off-line model 

    Centelles, Jordi; Ruiz Costa-Jussà, Marta; Banchs, Rafael; Gelbukh, Alexander (2014-04-01)
    Artículo
    Acceso restringido por política de la editorial
    This paper describes an Information Retrieval engine that is used to support our Chinese-Portuguese machine translation services when no internet connection is available. Our mobile translation app, which is deployed on ...
  • An Ngram-based reordering model 

    Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (Elsevier, 2009-07)
    Artículo
    Acceso restringido por política de la editorial
    This paper describes in detail a novel approach to the reordering challenge in statistical machine translation (SMT). This Ngram-based reordering (NbR) approach uses the powerful techniques of SMT systems to generate a ...
  • An overview of the phrase-based statistical machine translation techniques 

    Ruiz Costa-Jussà, Marta (2012-12-01)
    Artículo
    Acceso restringido por política de la editorial
  • Automatic and human evaluation study of a rule-based and a statistical Catalan-Spanish machine translation systems 

    Ruiz Costa-Jussà, Marta; Farrús Cabeceran, Mireia; Mariño Acebal, José Bernardo; Rodríguez Fonollosa, José Adrián (2011)
    Texto en actas de congreso
    Acceso abierto
    Machine translation systems can be classified into rule-based and corpus-based approaches, in terms of their core technology. Since both paradigms have largely been used during the last years, one of the aims in the ...
  • Automatic evaluation for E-Learning using latent semantic analysis: A use case 

    Farrus, Mireia; Ruiz Costa-Jussà, Marta (2013-03-01)
    Artículo
    Acceso abierto
    Assessment in education allows for obtaining, organizing, and presenting information about how much and how well the student is learning. The current paper aims at analysing and discussing some of the most state-of-the-art ...
  • Automatic evaluation of continuous assessment tests 

    Farrus, Mireia; Ruiz Costa-Jussà, Marta; Cobo, German; García Solórzano, David; Villarejo Muñoz, Luis; Banchs, Rafael E. (2010-12-01)
    Capítulo de libro
    Acceso abierto
  • Automatic normalization of short texts by combining statistical and rule-based techniques 

    Ruiz Costa-Jussà, Marta; Banchs, Rafael E. (2013-03-01)
    Artículo
    Acceso abierto
    Short texts are typically composed of small number of words, most of which are abbreviations, typos and other kinds of noise. This makes the noise to signal ratio relatively high for this specific category of text. A high ...
  • BUCEADOR, a multi-language search engine for digital libraries 

    Adell Mercado, Jordi; Bonafonte Cávez, Antonio; Cardenal, Antonio; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián; Moreno Bilbao, M. Asunción; Navas, Eva; Rodríguez Banga, Eduardo (2012)
    Comunicación de congreso
    Acceso abierto
    This paper presents a web-based multimedia search engine built within the Buceador (www.buceador.org) research project. A proof-of-concept tool has been implemented which is able to retrieve information from a digital ...
  • Character-based neural machine translation 

    Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2016)
    Comunicación de congreso
    Acceso abierto
    Neural Machine Translation (MT) has reached state-of-the-art results. However, one of the main challenges that neural MT still faces is dealing with very large vocabularies and morphologically rich languages. In this paper, ...
  • Chinese–Spanish neural machine translation enhanced with character and word bitmap fonts 

    Ruiz Costa-Jussà, Marta; Aldón Mínguez, David; Rodríguez Fonollosa, José Adrián (2017-04-06)
    Artículo
    Acceso restringido por política de la editorial
    Recently, machine translation systems based on neural networks have reached state-of-the-art results for some pairs of languages (e.g., German–English). In this paper, we are investigating the performance of neural machine ...
  • Combining phrase and neural-based machine translation: what worked and did not 

    Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2017)
    Artículo
    Acceso restringido por política de la editorial
    Phrase-based machine translation assumes that all words are at the same distance and translates them using feature functions that approximate the probability at different levels. On the other hand, neural machine translation ...
  • Communicating China and Latin America 

    Ruiz Costa-Jussà, Marta (2013-08-07)
    Report de recerca
    Acceso restringido por política de la editorial
  • Coverage for character based neural machine translation 

    Kazimi, Bashir; Ruiz Costa-Jussà, Marta (2017-09-22)
    Artículo
    Acceso abierto
    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 (2017-09-01)
    Artículo
    Acceso abierto
    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 ...
  • DeepVoice: tecnologías de aprendizaje profundo aplicadas al procesado de voz y audio 

    Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2017-09-22)
    Artículo
    Acceso abierto
    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 ...