L'àmbit tecnològic del centre és el processament automàtic del llenguatge, tant en forma oral com escrita, amb l'objectiu d'ajudar a superar les barreres lingüístiques, facilitant la interacció entre persones, entre persones i dispositius, i l'accessibilitat a la informació multilingüe.
Tecnologies de la llengua són aquelles relacionades amb la creació, la gestió i la utilització de tecnologia i de recursos lingüístics (diccionaris, gramàtiques, etc.) per construir sistemes informàtics capaços de comprendre, interpretar i generar les diverses maneres que tenim els humans per comunicar-nos.
En el pla científic, aquesta activitat es basa en disciplines com ara l'aprenentatge automàtic, el processament de la senyal, la lingüística de corpus, l’enginyeria lingüística o el processament del llenguatge natural escrit o parlat. En el pla quotidià, s’inclou en un ventall ampli d’aplicacions cada cop més habituals: cercadors intel·ligents, assistents virtuals, sistemes automàtics d’atenció.

http://futur.upc.edu/VEU

Enviaments recents

  • A neural network approach for automatic detection of acoustic alarms 

    Peiró Lilja, Alexandre; Raboshchuk, Ganna; Nadeu Camprubí, Climent (Scitepress, 2017)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    Acoustic alarms generated by biomedical equipment are relevant sounds in the noisy Neonatal Intensive Care Unit (NICU) environment both because of their high frequency of occurrence and their possible negative effects on ...
  • Non parametric coding of speech by means of a MLP with hints 

    Hernández, G; Monte Moreno, Enrique; Mariño Acebal, José Bernardo (Springer, 1997)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    This paper presents a non parametric compression system which makes use of the fact that a MLP has an internal representation of the data in the hidden layer. The system that we present makes a compression by using 4 or 8 ...
  • A data-driven approach to construct survey-based indicators by means of evolutionary algorithms 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2018-01-09)
    Article
    Accés obert
    In this paper we propose a data-driven approach for the construction of survey-based indicators using large data sets. We make use of agents’ expectations about a wide range of economic variables contained in the World ...
  • LSTM neural network-based speaker segmentation using acoustic and language modelling 

    India Massana, Miquel Àngel; Rodríguez Fonollosa, José Adrián; Hernando Pericás, Francisco Javier (International Speech Communication Association (ISCA), 2017)
    Comunicació de congrés
    Accés obert
    This paper presents a new speaker change detection system based on Long Short-Term Memory (LSTM) neural networks using acoustic data and linguistic content. Language modelling is combined with two different ...
  • Multi-TID detection and characterization in a dense Global Navigation Satellite System receiver network 

    Yang, Heng; Monte Moreno, Enrique; Hernández Pajares, Manuel (2017-09-01)
    Article
    Accés restringit per política de l'editorial
    The medium-scale traveling ionospheric disturbances (MSTIDs) constitute the most frequent ionospheric wave signatures. We propose a method for detecting the number of simultaneous MSTIDs from a time series of high-pass-filtered ...
  • Empirical modelling of survey-based expectations for the design of economic indicators in five European regions 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2018-01-09)
    Article
    Accés restringit per política de l'editorial
    In this study we use agents’ expectations about the state of the economy to generate indicators of economic activity in twenty-six European countries grouped in five regions (Western, Eastern, and Southern Europe, and ...
  • A knowledge-based approach to automatic detection of equipment alarm sounds in a neonatal intensive care unit environment 

    Raboshchuk, Ganna; Nadeu Camprubí, Climent; Jancovic, Peter; Peiró Lilja, Alexandre Cristian; Kokuer, Munevver; Muñoz Mahamud, Blanca; Riverola de Veciana, Ana (2017-12-21)
    Article
    Accés obert
    A large number of alarm sounds triggered by biomedical equipment occur frequently in the noisy environment of a neonatal intensive care unit (NICU) and play a key role in providing healthcare. In this paper, our work on ...
  • Direct MSTID mitigation in precise GPS processing 

    Hernández Pajares, Manuel; Wielgosz, Pawel; Paziewski, Jacek; Krypiak-Gregorczyk, Anna; Krukowska, Marta; Stepniak, Katarzyna; Kaplon, Jan; Hadas, Tomasz; Sosnica, Krzysztof; Bosy, Jaroslaw; Orús Pérez, Raul; Monte Moreno, Enrique; Yang, Heng; García Rigo, Alberto; Olivares Pulido, German (2017-03)
    Article
    Accés restringit per política de l'editorial
    In this paper, the authors summarize a simple and efficient approach developed to mitigate the problem in precise GNSS positioning originated by the most frequent ionospheric wave signatures: the Medium Scale Travelling ...
  • The TALP-UPC neural machine translation system for german/finnish-english using the inverse direction model in rescoring 

    Escolano, Carlos; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2017)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    In this paper, we describe the TALP- UPC participation in the News Task for German-English and Finish-English. Our primary submission implements a fully character to character neural machine translation architecture with ...
  • Towards large scale multimedia indexing: a case study on person discovery in broadcast news 

    Le, Nam; Bredin, Herve; Sergent, Gabriel; India Massana, Miquel Àngel; López-Otero, Paula; Barras, Claude; Guinaudeau, Camille; Gravier, Guillaume; Barbosa da Fonseca, Gabriel; Lyon Freire, Izabela; Patrocinio Jr., Zenilton; Jamil F. Guimarães, Silvio; Martí Juan, Gerard; Morros Rubió, Josep Ramon; Hernando Pericás, Francisco Javier; Docio-Fernández, Laura; García-Mateo, Carmen; Meignier, Sylvain; Odobez, Jean-Marc (Association for Computing Machinery (ACM), 2017)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    The rapid growth of multimedia databases and the human interest in their peers make indices representing the location and identity of people in audio-visual documents essential for searching archives. Person discovery ...
  • Evolutionary computation for macroeconomic forecasting 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2017-11-07)
    Article
    Accés restringit per política de l'editorial
    The main objective of this study is twofold. First, we propose an empirical modelling approach based on genetic programming to forecast economic growth by means of survey data on expectations. We use evolutionary algorithms ...
  • Using survey data to forecast real activity with evolutionary algorithms. A cross-country analysis 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2017-11-01)
    Article
    Accés restringit per política de l'editorial
    In this study we use survey expectations about a wide range of economic variables to forecast real activity. We propose an empirical approach to derive mathematical functional forms that link survey expectations to economic ...

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