Exploració per autor "Melero, Maite"

Ara es mostren els items 9-12 de 12

    • Selection of correction candidates for the normalization of Spanish user generated content 

      Melero, Maite; Ruiz Costa-Jussà, Marta; Lambert, Patrik; Quixal, Martí (2016-01-01)
      Article
      Accés obert
      We present research aiming to build tools for the normalization of User-Generated Content (UGC). We argue that processing this type of text requires the revisiting of the initial steps of Natural Language Processing, since ...

    • Sobre la I Jornada del Processament Computacional del Català 

      Boleda Torrent, Gemma; Cuadros Oller, Montserrat; España Bonet, Cristina; Melero, Maite; Padró, Lluís; Quixal, Martí; Rodríguez, Carlos (2009)
      Article
      Accés restringit per política de l'editorial
      El processament computacional de la llengua abraça qualsevol activitat relacionada amb la creació, gestió i utilització de tecnologia i recursos lingüístics. En el pla científic, aquesta activitat és central en disciplines ...

    • The strategic impact of META-NET on the regional, national and international level 

      Ananiadou, Sophia; Branco, Antonio; Hajic, Jan; Hernáez, Inma; Mariani, Joseph; McNaught, John; Monachini, Monica; Moreno Bilbao, M. Asunción; Odijk, Jan; Piperidis, Stelios; Rosner, Mike; Skadina, Inguna; Tadic, Marko; Thompson, Paul; Tufis, Dan; Melero, Maite (2016-06-01)
      Article
      Accés obert
      This article provides an overview of the dissemination work carried out in META-NET from 2010 until 2015; we describe its impact on the regional, national and international level, mainly with regard to politics and the ...

    • Transfer Learning with Shallow Decoders: BSC at WMT2021’s Multilingual Low-Resource Translation for Indo-European Languages Shared Task 

      Kharitonova, Ksenia; Gibert Bonet, Ona de; Armengol Estapé, Jordi; Rodríguez i Alvarez, Mar; Melero, Maite (Association for Computational Linguistics, 2021)
      Comunicació de congrés
      Accés obert
      This paper describes the participation of the BSC team in the WMT2021{'}s Multilingual Low-Resource Translation for Indo-European Languages Shared Task. The system aims to solve the Subtask 2: Wikipedia cultural heritage ...