
transLectures (Transcription and Translation of Video Lectures) is an EU STREP project in which advanced automatic speech recognition and machine translation techniques are being tested on large video lecture repositories. The project began in November 2011 and will run for three years. This paper will outline the project¿s main motivation and objectives, and give a brief description of the two main repositories being considered: VideoLectures.NET and poliMedia. The first results obtained by the UPV group for the poliMedia repository will also be provided.
The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 287755. Funding was also provided by the Spanish Government (iTrans2 project, TIN2009-14511; FPI scholarship BES-2010-033005; FPU scholarship AP2010-4349)
ESTADISTICA E INVESTIGACION OPERATIVA, Automatic speech recognition, Multilingualism, Massive adaptation, Accessibility, Intelligent interaction, Education, Video lectures, CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL, Language technologies, Machine translation, LENGUAJES Y SISTEMAS INFORMATICOS, Opencast matterhorn
ESTADISTICA E INVESTIGACION OPERATIVA, Automatic speech recognition, Multilingualism, Massive adaptation, Accessibility, Intelligent interaction, Education, Video lectures, CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL, Language technologies, Machine translation, LENGUAJES Y SISTEMAS INFORMATICOS, Opencast matterhorn
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