The QUALES project addresses machine translation quality estimation. The main purpose of the project is broken down into the following scientific-technological objectives:

1. Research and development of methods and tools for the automatic estimation of quality using supervised machine learning.

2. Research and development of methods for automatic quality estimation using unsupervised machine learning.

3. Creation and preparation of adequate data sets for the training of supervised estimators.

4. Creation of accurate quality estimation systems adapted to specific domains.

In addition, the following objectives linked to scope and impact are defined:

1. Definition of a pilot case for the application of the results of the project that will determine the requirements for the techniques to be developed and the linguistic resources to be used.

2. Validation of the prototypes in relation to the state of the art in terms of adaptability and accuracy of the quality estimates.

3. Academic dissemination of the results of the project in international conferences.

4. Transfer of results to the industry and analysis of opportunities for commercial exploitation.

Webpage: http://quales.eus/hasiera.html
Organization:  Eusko Jaurlaritza
Main researcher: Thierry Etchegoyhen, Kepa Sarasola
Participants: 
Eneko Agirre, Itziar Aldabe, Iñaki Alegria, Nora Aranberri, Kepa Bengoetxea, Ainara Estarrona, Uxoa Iñurrieta, Gorka Labaka, Mikel Lersundi, Arantxa Otegi, Olatz Perez de Viñaspre, Kepa Sarasola, Ruben Urizar