Filtering of Noisy Parallel Corpora Based on Hypothesis Generation

no code implementations • WS 2019 • Zuzanna Parcheta, Germ{\'a}n Sanchis-Trilles, Francisco Casacuberta

The filtering task of noisy parallel corpora in WMT2019 aims to challenge participants to create filtering methods to be useful for training machine translation systems.

Machine Translation Sentence +1

Evaluating the effects of interactivity in a post-editing workbench

no code implementations • LREC 2014 • Nancy Underwood, Bartolom{\'e} Mesa-Lao, Mercedes Garc{\'\i}a Mart{\'\i}nez, Michael Carl, Vicent Alabau, Jes{\'u}s Gonz{\'a}lez-Rubio, Luis A. Leiva, Germ{\'a}n Sanchis-Trilles, Daniel Ort{\'\i}z-Mart{\'\i}nez, Francisco Casacuberta

This paper describes the field trial and subsequent evaluation of a post-editing workbench which is currently under development in the EU-funded CasMaCat project.

Machine Translation

Online optimisation of log-linear weights in interactive machine translation

no code implementations • LREC 2014 • Mara Chinea Rios, Germ{\'a}n Sanchis-Trilles, Daniel Ortiz-Mart{\'\i}nez, Francisco Casacuberta

Whenever the quality provided by a machine translation system is not enough, a human expert is required to correct the sentences provided by the machine translation system.

Language Modelling Machine Translation +2

Does more data always yield better translations?

no code implementations • EACL 2012 • Guillem Gasc{\'o}, Martha-Alicia Rocha, Germ{\'a}n Sanchis-Trilles, Jes{\'u}s Andr{\'e}s-Ferrer, Francisco Casacuberta

Machine Translation