Ara es mostren els items 42-61 de 135

    • 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 ...
    • End-to-End speech translation with pre-trained models and adapters: UPC at IWSLT 2021 

      Gallego Olsina, Gerard Ion; Tsiamas, Ioannis; Escolano Peinado, Carlos; Fonollosa, José A. R.; Ruiz Costa-Jussà, Marta (2021-06-28)
      Report de recerca
      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 ...
    • End-to-end speech translation with the transformer 

      Cross Vila, Laura; Escolano Peinado, Carlos; Rodríguez Fonollosa, José Adrián; Ruiz Costa-Jussà, Marta (Antonio Bonafonte, Jordi Luque and Francesc Alías Pujol, 2018)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      Speech Translation has been traditionally addressed with the concatenation of two tasks: Speech Recognition and Machine Translation. This approach has the main drawback that errors are concatenated. Recently, neural ...
    • English-catalan neural machine translation in the biomedical domain through the cascade approach 

      Ruiz Costa-Jussà, Marta; Casas, Noe; Melero, Maite (2018)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      This paper describes the methodology followed to build a neural machine translation system in the biomedical domain for the English-Catalan language pair. This task can be considered a low-resourced task from the point of ...
    • English-to-Hindi system description for WMT 2014: deep source-context features for Moses 

      Ruiz Costa-Jussà, Marta; Gupta, Parth; Banchs, Rafael E.; Rosso, P. (Association for Computational Linguistics, 2014)
      Comunicació de congrés
      Accés obert
      This paper describes the IPN-UPV participation on the English-to-Hindi translation task from WMT 2014 International Evaluation Campaign. The system presented is based on Moses and enhanced with deep learning by meansof ...
    • Enhancing scarce-resource language translation through pivot combinations 

      Ruiz Costa-Jussà, Marta; Henríquez, Carlos; Banchs, Rafael E. (2011)
      Text en actes de congrés
      Accés obert
      Chinese and Spanish are the most spoken languages in the world. However, there is not much research done in machine translation for this language pair. We experiment with the parallel Chinese-Spanish corpus (United Nations) ...
    • Enhancing word embeddings with knowledge extracted from lexical resources 

      Biesialska, Magdalena Marta; Rafieian, Bardia; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2020)
      Comunicació de congrés
      Accés obert
      In this work, we present an effective method for semantic specialization of word vector representations. To this end, we use traditional word embeddings and apply specialization methods to better capture semantic relations ...
    • Enriching the transformer with linguistic factors for low-resource machine translation 

      Armengol Estapé, Jordi; Ruiz Costa-Jussà, Marta; Escolano Peinado, Carlos (Incoma, Ltd., 2021)
      Text en actes de congrés
      Accés obert
      Introducing factors, that is to say, word features such as linguistic information referring to the source tokens, is known to improve the results of neural machine translation systems in certain settings, typically in ...
    • Evaluating gender bias in speech translation 

      Ruiz Costa-Jussà, Marta; Basta, Christine Raouf Saad; Gallego Olsina, Gerard Ion (European Language Resources Association, 2022)
      Comunicació de congrés
      Accés obert
      The scientific community is increasingly aware of the necessity to embrace pluralism and consistently represent major and minor social groups. Currently, there are no standard evaluation techniques for different types of ...
    • Evaluating indirect strategies for chinese-spanish statistical machine translation 

      Ruiz Costa-Jussà, Marta; Henríquez, Carlos; Banchs, Rafael E. (2012-12-01)
      Article
      Accés obert
      Although, Chinese and Spanish are two of the most spoken languages in the world, not much research has been done in machine translation for this language pair. This paper focuses on investigating the state-of-the-art of ...
    • Evaluating the underlying gender bias in contextualized word embeddings 

      Basta, Christine Raouf Saad; Ruiz Costa-Jussà, Marta; Casas Manzanares, Noé (Association for Computational Linguistics, 2019)
      Text en actes de congrés
      Accés obert
      Gender bias is highly impacting natural language processing applications. Word embeddings have clearly been proven both to keep and amplify gender biases that are present in current data sources. Recently, contextualized ...
    • Experimental research on encoder-decoder architectures with attention for chatbots 

      Ruiz Costa-Jussà, Marta; Nuez, Álvaro; Segura, Carlos (2018-03-18)
      Article
      Accés restringit per política de l'editorial
      Chatbots aim at automatically offering a conversation be- tween a human and a computer. While there is a long track of re- search in rule-based and retrieval-based approaches, the generation-based approaches are promisingly ...
    • Extensive study on the underlying gender bias in contextualized word embeddings 

      Basta, Christine Raouf Saad; Ruiz Costa-Jussà, Marta; Casas Manzanares, Noé (2021-04)
      Article
      Accés restringit per política de l'editorial
      Gender bias is affecting many natural language processing applications. While we are still far from proposing debiasing methods that will solve the problem, we are making progress analyzing the impact of this bias in current ...
    • Findings of the first shared task on lifelong learning machine translation 

      Barrault, Loïc; Biesialska, Magdalena Marta; Ruiz Costa-Jussà, Marta; Bougares, Fethi; Galibert, Olivier (Association for Computational Linguistics, 2020)
      Comunicació de congrés
      Accés obert
      A lifelong learning system can adapt to new data without forgetting previously acquired knowledge. In this paper, we introduce the first benchmark for lifelong learning machine translation. For this purpose, we provide ...
    • Fine-tuning neural machine translation on gender-balanced datasets 

      Ruiz Costa-Jussà, Marta; de Jorge Sánchez, Adrián (Association for Computational Linguistics, 2020)
      Comunicació de congrés
      Accés obert
      Misrepresentation of certain communities in datasets is causing big disruptions in artificial intelligence applications. In this paper, we propose using an automatically extracted gender-balanced dataset parallel corpus ...
    • Forthcoming MOOC on Approaches to machine translation 

      Ruiz Costa-Jussà, Marta; Formiga Fanals, Lluís (2014-09-17)
      Audiovisual
      Accés obert
      Presentació del MOOC "Approaches to machine translation: rule-based, statistical and hybrid".
    • From bilingual to multilingual neural machine translation by incremental training 

      Escolano Peinado, Carlos; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (Association for Computational Linguistics, 2019)
      Comunicació de congrés
      Accés obert
      Multilingual Neural Machine Translation approaches are based on the use of task specific models and the addition of one more language can only be done by retraining the whole system. In this work, we propose a new training ...
    • From bilingual to multilingual neural-based machine translation by incremental training 

      Escolano Peinado, Carlos; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2020-08-02)
      Article
      Accés obert
      A common intermediate language representation in neural machine translation can be used to extend bilingual systems by incremental training. We propose a new architecture based on introducing an interlingual loss as an ...