ES-Port: a Spontaneous Spoken Human-Human Technical Support Corpus for Dialogue Research in Spanish

no code implementations • LREC 2018 • Laura Garc{\'\i}a-Sardi{\~n}a, Manex Serras, Arantza del Pozo

Impact of Automatic Segmentation on the Quality, Productivity and Self-reported Post-editing Effort of Intralingual Subtitles

no code implementations • LREC 2016 • Aitor {\'A}lvarez, Marina Balenciaga, Arantza del Pozo, Haritz Arzelus, Anna Matamala, Carlos-D. Mart{\'\i}nez-Hinarejos

This paper describes the evaluation methodology followed to measure the impact of using a machine learning algorithm to automatically segment intralingual subtitles.

BIG-bench Machine Learning Segmentation

SAVAS: Collecting, Annotating and Sharing Audiovisual Language Resources for Automatic Subtitling

no code implementations • LREC 2014 • Arantza del Pozo, Alipr, Carlo i, Aitor {\'A}lvarez, Carlos Mendes, Joao P. Neto, S{\'e}rgio Paulo, Nicola Piccinini, Matteo Raffaelli

This paper describes the data collection, annotation and sharing activities carried out within the FP7 EU-funded SAVAS project.

Language Modelling Speech Recognition

Machine Translation for Subtitling: A Large-Scale Evaluation

no code implementations • LREC 2014 • Thierry Etchegoyhen, Lindsay Bywood, Mark Fishel, Panayota Georgakopoulou, Jie Jiang, Gerard van Loenhout, Arantza del Pozo, Mirjam Sepesy Mau{\v{c}}ec, Anja Turner, Martin Volk

This article describes a large-scale evaluation of the use of Statistical Machine Translation for professional subtitling.

Language Modelling Machine Translation +1

SUMAT: Data Collection and Parallel Corpus Compilation for Machine Translation of Subtitles

no code implementations • LREC 2012 • Volha Petukhova, Rodrigo Agerri, Mark Fishel, Sergio Penkale, Arantza del Pozo, Mirjam Sepesy Mau{\v{c}}ec, Andy Way, Panayota Georgakopoulou, Martin Volk

Subtitling and audiovisual translation have been recognized as areas that could greatly benefit from the introduction of Statistical Machine Translation (SMT) followed by post-editing, in order to increase efficiency of subtitle production process.

Machine Translation Translation