Exploració per autor "Ruiz Costa-Jussà, Marta"
Ara es mostren els items 37-56 de 135
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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 obertThis 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 obertEste 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 obertTwo 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 obertStatistical 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 obertIn 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 obertThis 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 obertThis 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'editorialSpeech 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'editorialThis 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 obertThis 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 obertChinese 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 obertIn 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 obertIntroducing 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 obertThe 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 obertAlthough, 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 obertGender 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'editorialChatbots 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'editorialGender 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 ...