Ara es mostren els items 25-44 de 135

    • Character-based neural machine translation 

      Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2016)
      Comunicació de congrés
      Accés obert
      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, ...
    • Character-level intra attention networks for natural language inference 

      Yang, Han; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2017)
      Comunicació de congrés
      Accés obert
      Natural language inference (NLI) is a central problem in language understand- ing. End-to-end artificial neural networks have reached state-of-the-art performance in NLI field recently. In this paper, we propose Character- ...
    • Chatbol, a chatbot for the Spanish “La Liga” 

      Segura, Carlos; Palau, Alex; Luque, Jordi; Ruiz Costa-Jussà, Marta; Banchs, Rafael E. (Springer, 2019-09-25)
      Article
      Accés obert
      This work describes the development of a social chatbot for the football domain. The chatbot, named chatbol, aims at answering a wide variety of questions related to the Spanish football league “La Liga”. Chatbol is deployed ...
    • Chinese-Catalan: A neural machine translation approach based on pivoting and attention mechanisms 

      Ruiz Costa-Jussà, Marta; Casas Manzanares, Noé; Escolano Peinado, Carlos; Rodríguez Fonollosa, José Adrián (2019-01-01)
      Article
      Accés obert
      This article innovatively addresses machine translation from Chinese to Catalan using neural pivot strategies trained without any direct parallel data. The Catalan language is very similar to Spanish from a linguistic point ...
    • 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)
      Article
      Accés obert
      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)
      Article
      Accés restringit per política de l'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 ...
    • Combining subword representations into word-level representations in the transformer architecture 

      Casas Manzanares, Noé; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (Association for Computational Linguistics, 2020)
      Comunicació de congrés
      Accés obert
      In Neural Machine Translation, using word-level tokens leads to degradation in translation quality. The dominant approaches use subword-level tokens, but this increases the length of the sequences and makes it difficult ...
    • Communicating China and Latin America 

      Ruiz Costa-Jussà, Marta (2013-08-07)
      Report de recerca
      Accés restringit per política de l'editorial
    • Conclusions 

      Ruiz Costa-Jussà, Marta (2014-07-24)
      Audiovisual
      Accés obert
      Setmana 5, conclusions del MOOC "Approaches to machine translation: rule-based, statistical and hybrid".
    • Continual lifelong learning in natural language processing: a survey 

      Biesialska, Magdalena Marta; Biesialska, Katarzyna; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2020)
      Comunicació de congrés
      Accés obert
      Continual learning (CL) aims to enable information systems to learn from a continuous data stream across time. However, it is difficult for existing deep learning architectures to learn a new task without largely forgetting ...
    • Converses al voltant de la intel·ligència artificial en clau catalana 

      Ruiz Costa-Jussà, Marta; Melero Nogues, Maite (2020-12)
      Article
      Accés obert
      La intel·ligència artificial mou milions d’euros i ocupa una part important de les agendes polítiques i estratègiques dels governs. En aquest article reflexionem sobre aquest concepte difús i ho fem a través de tres ...
    • 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 ...
    • Dades, màquina i ètica 

      Ruiz Costa-Jussà, Marta (2019-02-01)
      Article
      Accés obert
    • 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 ...
    • 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 ...
    • Description of the Chinese-to-Spanish rule-based machine translation system developed with a hybrid combination of human annotation and statistical techniques 

      Ruiz Costa-Jussà, Marta; Centelles, Jordi (2015-11-01)
      Article
      Accés obert
      Two of the most popular Machine Translation (MT) paradigms are rule based (RBMT) and corpus based, which include the statistical systems (SMT). When scarce parallel corpus is available, RBMT becomes particularly attractive. ...
    • Domain adaptation strategies in statistical machine translation: a brief overview 

      Ruiz Costa-Jussà, Marta (2015-11-01)
      Article
      Accés obert
      Statistical machine translation (SMT) is gaining interest given that it can easily be adapted to any pair of languages. One of the main challenges in SMT is domain adaptation because the performance in translation drops ...
    • E-commerce content and collaborative-based recommendation using K-Nearest Neighbors and enriched weighted vectors 

      Rafieian, Bardia; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2020)
      Text en actes de congrés
      Accés obert
      In this paper, we present two productive and functional recommender methods to improve the accuracy of predicting the right product for the user. One proposal is a survey-based recommender system that uses k-nearest ...
    • Editorial 

      Ruiz Costa-Jussà, Marta (Escola Tècnica Superior d'Enginyers de Telecomunicació de Barcelona, 2001)
      Article
      Accés obert
    • End-to-end speech translation with pre-trained models and adapters: UPC at IWSLT 2021 

      Gallego Olsina, Gerard Ion; Tsiamas, Ioannis; Escolano Peinado, Carlos; Rodríguez Fonollosa, José Adrián; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2021)
      Text en actes de congrés
      Accés obert
      This paper describes the submission to the IWSLT 2021 offline speech translation task by the UPC Machine Translation group. The task consists of building a system capable of translating English audio recordings extracted ...