2013, Silvestre Cerdà, Joan Albert, Pérez González de Martos, Alejandro Manuel, Jiménez López, Manuel, Turró Ribalta, Carlos, Juan Císcar, Alfonso, Civera Saiz, Jorge, Dpto. de Sistemas Informáticos y Computación, Área de Sistemas de la Información y las Comunicaciones, Escuela Politécnica Superior de Alcoy, Escuela Técnica Superior de Ingeniería Informática, Instituto Universitario Valenciano de Investigación en Inteligencia Artificial, European Commission, Ministerio de Educación, Cultura y Deporte

[EN] Online video lecture repositories are rapidly growing and becoming established as fundamental knowledge assets. However, most lectures are neither transcribed nor translated because of the lack of cost-effective solutions that can give accurate enough results. In this paper, we describe a system architecture that supports the cost-effective transcription and translation of large video lecture repositories. This architecture has been adopted in the EU project transLectures and is now being tested on a repository of more than 9000 video lectures at the Universitat Politecnica de Valencia. Following a brief description of this repository and of the transLectures project, we describe the proposed system architecture in detail. We also report empirical results on the quality of the transcriptions and translations currently being maintained and steadily improved.