Granell, E.; Romero, V.; Martínez-Hinarejos, C. (2018). Multimodality, interactivity, and crowdsourcing for document transcription. Computational Intelligence. 34(2):398-419. https://doi.org/10.1111/coin.12169
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/120371
Título:
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Multimodality, interactivity, and crowdsourcing for document transcription
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Autor:
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Granell, Emilio
Romero, Verónica
Martínez-Hinarejos, Carlos-D.
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Entidad UPV:
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Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
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Fecha difusión:
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Resumen:
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[EN] Knowledge mining from documents usually use document engineering techniques that allow the user to access the information contained in documents of interest. In this framework, transcription may provide efficient ...[+]
[EN] Knowledge mining from documents usually use document engineering techniques that allow the user to access the information contained in documents of interest. In this framework, transcription may provide efficient access to the contents of handwritten documents. Manual transcription is a time-consuming task that can be sped up by using different mechanisms. A first possibility is employing state-of-the-art handwritten text recognition systems to obtain an initial draft transcription that can be manually amended. A second option is employing crowdsourcing to obtain a massive but not error-free draft transcription. In this case, when collaborators employ mobile devices, speech dictation can be used as a transcription source, and speech and handwritten text recognition can be fused to provide a better draft transcription, which can be amended with even less effort. A final option is using interactive assistive frameworks, where the automatic system that provides the draft transcription and the transcriber cooperate to generate the final transcription. The novel contributions presented in this work include the study of the data fusion on a multimodal crowdsourcing framework and its integration with an interactive system. The use of the proposed solutions reduces the required transcription effort and optimizes the overall performance and usability, allowing for a better transcription process.
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Palabras clave:
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Assistive environment
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Crowdsourcing framework
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Historical handwritten transcription
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Multimodal combination
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Derechos de uso:
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Reserva de todos los derechos
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Fuente:
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Computational Intelligence. (issn:
0824-7935
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DOI:
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10.1111/coin.12169
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Editorial:
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Blackwell Publishing
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Versión del editor:
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http://doi.org/10.1111/coin.12169
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Código del Proyecto:
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info:eu-repo/grantAgreement/EC/H2020/674943/EU/Recognition and Enrichment of Archival Documents/
info:eu-repo/grantAgreement/MINECO//RTC-2014-1466-4Q4618002BC.VALENCIANA/ES/SMART WAYS - DESARROLLO DE UNA PLATAFORMA TECNOLÓGICA ORIENTADA A LA EFICIENCIA DE LOS RECURSOS EN EL CAMPO DE LAS NUEVAS TECNOLOGÍAS INTERNET OF THINGS/
info:eu-repo/grantAgreement/MINECO//TIN2015-70924-C2-1-R/ES/CONTEXTO, MULTIMODALIDAD Y COLABORACION DEL USUARIO EN PROCESADO DE TEXTO MANUSCRITO/
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Descripción:
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This is the peer reviewed version of the following article: Granell, Emilio, Romero, Verónica, Martínez-Hinarejos, Carlos-D.. (2018). Multimodality, interactivity, and crowdsourcing for document transcription.Computational Intelligence, 34, 2, 398-419. DOI: 10.1111/coin.12169, which has been published in final form at http://doi.org/10.1111/coin.12169.. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
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Agradecimientos:
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projects READ, Grant/Award Number: 674943; (European Union's H2020); Smart Ways, Grant/Award Number: RTC-2014-1466-4; (MINECO); CoMUN-HaT, Grant/Award Number: TIN2015-70924-C2-1-R; (MINECO / FEDER)
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Tipo:
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Artículo
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