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Browsing by Author "Casacuberta Nolla, Francisco"

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Browsing by Author "Casacuberta Nolla, Francisco"

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    A Bidirectional Recurrent Neural Language Model for Machine Translation 
    Peris Abril, Álvaro; Casacuberta Nolla, Francisco (Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2015-09)
    [EN] A language model based in continuous representations of words is presented, which has been applied to a statistical machine translation task. This model is implemented by means of a bidirectional recurrent neural ...
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    Active learning for interactive machine translation 
    González Rubio, Jesús; Ortiz Martínez, Daniel; Casacuberta Nolla, Francisco (Association for Computational Linguistics, 2012)
    Translation needs have greatly increased during the last years. In many situations, text to be translated constitutes an unbounded stream of data that grows continually with time. An effective approach to translate text ...
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    Adaptación al escritor en reconocimiento automático de la escritura manual en un entorno de traducción interactiva 
    PÉREZ ESCORTELL, MARÍA AMPARO (2014-10-02)
    [EN] We can see in the last year as the technology occupies a more important paper in the company for what it becomes necessary to improve man-machine interaction. One of the applications of technology that they might ...
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    Advanced techniques for domain adaptation in Statistical Machine Translation 
    Chinea Ríos, Mara (2019-03-04)
    [ES] La Traducción Automática Estadística es un sup-campo de la lingüística computacional que investiga como emplear los ordenadores en el proceso de traducción de un texto de un lenguaje humano a otro. La traducción ...
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    Advances in Fully-Automatic and Interactive Phrase-Based Statistical Machine Translation 
    Ortiz Martínez, Daniel (2011-10-14)
    This thesis presents different contributions in the fields of fully-automatic statistical machine translation and interactive statistical machine translation. In the field of statistical machine translation there are ...
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    An Empirical Analysis of Data Selection Techniques in Statistical Machine Translation 
    Chinea Ríos, Mara; Sanchis Trilles, Germán; Casacuberta Nolla, Francisco (Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2015-09)
    [EN] Domain adaptation has recently gained interest in statistical machine translation. One of the adaptation techniques is based in the selection data. Data selection aims to select the best subset of the bilingual ...
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    Aprendizaje de transductores estocásticos de estados finitos y su aplicación en traducción automática. 
    González Mollá, Jorge (2009-10-22)
    Traducción automática es un área de lingüística computacional que investiga el uso de software para traducir texto o voz en lenguaje natural hacia su representación en un idioma destino, también mediante lenguaje ...
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    Aprendizaje en línea en traducción automática basada en redes neuronales 
    Cebrián Chuliá, Luis (2017-09-04)
    High quality translations are in high demand these days. Although machine translation offers acceptable performance, it is not sufficient in some cases and human supervision is required. In order to ease the translation ...
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    Aprendizaje online de los pesos del modelo log-lineal en traducción automática interactiva 
    López Salcedo, Francisco Javier (2012-12-03)
    [ES] En este trabajo se ha analizado la conveniencia de tres estrategias para adaptar los pesos del modelo log-lineal dentro de un escenario de traducción automática interactiva. La primera estrategia se basa en la ...
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    Benign /malignant classifier of soft tissue tumors using MR imaging 
    Garcia-Gomez, Juan M; Vidal, César; Martí-Bonmatí, Luís; Galant, Joaquín; Sans, Nicolas; Robles Viejo, Montserrat; Casacuberta Nolla, Francisco (Springer-Verlag, 2004-03)
    [EN] This article presents a pattern-recognition approach to the soft tissue tumors (STT) benign/malignant character diagnosis using magnetic resonance (MR) imaging applied to a large multicenter database. Objective: To ...
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    Building task-oriented machine translation systems 
    Sanchis Trilles, Germán (2012-09-20)
    La principal meta de esta tesis es desarrollar sistemas de traduccion interactiva que presenten mayor sinergia con sus usuarios potenciales. Por ello, el objetivo es hacer los sistemas estado del arte mas ergonomicos, ...
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    CASMACAT: An open source workbench for advanced computer aided translation 
    Alabau, Vicent; Bonkb, Ragnar; Buck, Christian; Carlb, Michael; Casacuberta Nolla, Francisco; García-Martínez, Mercedes; Gonzalez Rubio, Jesus; Koehn, Philipp; Leiva Torres, Luis Alberto; Mesa-Lao, Bartolomé; Ortiz Martínez, Daniel; Saint-Amand, Herve; Sanchis Trilles, Germán; Tsoukalac, Chara (De Gruyter Open, 2013-10)
    [EN] We describe an open source workbench that offers advanced computer aided translation (CAT) functionality: post-editing machine translation (MT), interactive translation prediction (ITP), visualization of word alignment, ...
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    Comparison between statistical and neuronal models for machine translation 
    Llorens Ripollés, José Manuel (2018-09-18)
    [EN] Machine translation is a thriving field that deals with multiple of the challenges that the modern world face. From accessing to knowledge in a foreign language, to being able to communicate with people that does ...
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    Continuous spaces in statistical machine Translation 
    Peris Abril, Álvaro (2016-07-29)
    [EN] Classically, statistical machine translation relied on representations of words in a discrete space. Words and phrases were atomically represented as indices in a vector. In the last years, techniques for representing ...
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    Cost-sensitive active learning for computer-assisted translation 
    González Rubio, Jesús; Casacuberta Nolla, Francisco (Elsevier, 2014-02)
    [EN] Machine translation technology is not perfect. To be successfully embedded in real-world applications, it must compensate for its imperfections by interacting intelligently with the user within a computer-assisted ...
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    Desarrollo de un lector de fuentes RSS 
    Ulzurrun de Asanza Sáez, Lluís (2015-09-11)
    [ES] En este trabajo de fin de grado se presenta una plataforma distribuida de agregación de fuentes RSS y su API REST pública. Como ejemplo de uso del API se ha desarrollado un lector de noticias para iOS, también recogido ...
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    Descripción y clasificación de radiografías de tórax 
    Feliu Descalzo, Miguel (2020-10-16)
    [ES] El aprendizaje automático ha experimentado grandes avances en los últimos años, gracias a las numerosas investigaciones y a la gran cantidad de datos disponibles, propiciando su implantación en campos tan críticos ...
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    Dimensionality reduction methods for machine translation quality estimation 
    González Rubio, Jesús; Navarro Cerdán, José Ramón; Casacuberta Nolla, Francisco (Springer Verlag (Germany), 2013-12)
    [EN] Quality estimation (QE) for machine translation is usually addressed as a regression problem where a learning model is used to predict a quality score from a (usually highly-redundant) set of features that represent ...
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    Does more data always yield better translations? 
    Gascó Mora, Guillem; Rocha Sánchez, Martha Alicia; Sanchis Trilles, Germán; Andrés Ferrer, Jesús; Casacuberta Nolla, Francisco (Association for Computational Linguistics, 2012-04-23)
    Nowadays, there are large amounts of data available to train statistical machine translation systems. However, it is not clear whether all the training data actually help or not. A system trained on a subset of such huge ...
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    Domain adaptation problem in statistical machine translation systems 
    Chinea Ríos, Mara; Sanchis Trilles, Germán; Casacuberta Nolla, Francisco (IOS Press, 2015)
    Globalization suddenly brings many people from different country to interact with each other, requiring them to be able to speak several languages. Human translators are slow and expensive, we find the necessity of developing ...