Silvestre Cerdà, JA.; Pérez González De Martos, AM.; Jiménez López, M.; Turró Ribalta, C.; Juan Císcar, A.; Civera Saiz, J. (2013). A System Architecture to Support Cost-Effective Transcription and Translation of Large Video Lecture Repositories. IEEE International Conference on Systems, Man, and Cybernetics. Conference proceedings. 3994-3999. https://doi.org/10.1109/SMC.2013.682
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/39896
Title:
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A System Architecture to Support Cost-Effective Transcription and Translation of Large Video Lecture Repositories
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Author:
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Silvestre Cerdà, Joan Albert
Pérez González de Martos, Alejandro Manuel
Jiménez López, Manuel
Turró Ribalta, Carlos
Juan Císcar, Alfonso
Civera Saiz, Jorge
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UPV Unit:
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Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica
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Issued date:
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Abstract:
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[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 ...[+]
[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.
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Subjects:
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Language Technologies
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Machine Translation
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Automatic Speech Recognition
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Massive Adaptation
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Intelligent Interaction
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Education
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Video Lectures
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Multilingualism
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Accessibility
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Opencast Matterhorn
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Copyrigths:
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Reserva de todos los derechos
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ISBN:
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978-0-7695-5154-8
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Source:
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IEEE International Conference on Systems, Man, and Cybernetics. Conference proceedings.
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DOI:
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10.1109/SMC.2013.682
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Publisher:
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IInstitute of Electrical and Electronics Engineers (IEEE)
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Publisher version:
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http://dx.doi.org/10.1109/SMC.2013.682
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Conference name:
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2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Conference place:
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Manchester, UK
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Conference date:
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October 13-16, 2013
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Project ID:
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info:eu-repo/grantAgreement/EC/FP7/287755/EU/Transcription and Translation of Video Lectures/
info:eu-repo/grantAgreement/MECD//AP2010-4349/ES/AP2010-4349/
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Thanks:
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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 with the ...[+]
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 with the FPU
scholarship AP2010-4349.
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Type:
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Artículo
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