- -

Modernizing historical documents: A user Study

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Modernizing historical documents: A user Study

Mostrar el registro sencillo del ítem

Ficheros en el ítem

Thumbnail
Nombre: Domingo-Ballester ...
Tamaño: 400.1Kb
Formato: PDF
Descripción: Versión del Autor.
Abrir
[Cerrado]
Nombre: Editorial Version.pdf
Tamaño: 941.2Kb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor
dc.contributor.author Domingo-Ballester, Miguel es_ES
dc.contributor.author Casacuberta Nolla, Francisco es_ES
dc.date.accessioned 2021-11-05T12:27:42Z
dc.date.available 2021-11-05T12:27:42Z
dc.date.issued 2020-05 es_ES
dc.identifier.issn 0167-8655 es_ES
dc.identifier.uri http://hdl.handle.net/10251/176103
dc.description.abstract [EN] Accessibility to historical documents is mostly limited to scholars. This is due to the language barrier inherent in human language and the linguistic properties of these documents. Given a historical document, modernization aims to generate a new version of it, written in the modern version of the document's language. Its goal is to tackle the language barrier, decreasing the comprehension difficulty and making historical documents accessible to a broader audience. In this work, we proposed a new neural machine translation approach that profits from modern documents to enrich its systems. We tested this approach with both automatic and human evaluation, and conducted a user study. Results showed that modernization is successfully reaching its goal, although it still has room for improvement. es_ES
dc.description.sponsorship The authors wish to thank the anonymous reviewers for their careful reading and in-depth criticisms and suggestions. The research leading to these results has received funding from the European Union through Programa Operativo del Fondo Europeo de Desarrollo Regional (FEDER) from Comunitat Valenciana (2014-2020) under project Sistemas de frabricacion inteligentes para la industria 4.0 (grant agreement IDIFEDER/2018/025); from Ministerio de Economia y Competitividad (MINECO) under project MISMIS-FAKEnHATE (grant agreement PGC2018-096212-B-C31); from Fundacion BBVA under project Carabela (grant agreement CARABELA); and from Generalitat Valenciana (GVA) under project DeepPattern (grant agreement PROMETEO/2019/121). We gratefully acknowledge the support of NVIDIA Corporation with the donation of a GPU used for part of this research, and Andres Trapiello and Ediciones Destino for granting us permission to use their book in our research. Additionally, we would like to thank all the volunteers that took part in the user study, and the scholars from Prolope that took part in the human evaluation. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Pattern Recognition Letters es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Cultural heritage es_ES
dc.subject Historical documents modernization es_ES
dc.subject Machine translation es_ES
dc.subject Human evaluation es_ES
dc.subject User study es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Modernizing historical documents: A user Study es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.patrec.2020.02.027 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//PGC2018-096212-B-C31//DESINFORMACION Y AGRESIVIDAD EN SOCIAL MEDIA: AGREGANDO INFORMACION Y ANALIZANDO EL LENGUAJE/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EDUC.INVEST.CULT.DEP//IDIFEDER%2F2018%2F025//LABORATORIO DE FABRICACION AVANZADA INTELIGENTE/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2019%2F121//DEEP LEARNING FOR ADAPTATIVE AND MULTIMODAL INTERACTION IN PATTERN RECOGNITION/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Domingo-Ballester, M.; Casacuberta Nolla, F. (2020). Modernizing historical documents: A user Study. Pattern Recognition Letters. 133:151-157. https://doi.org/10.1016/j.patrec.2020.02.027 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.patrec.2020.02.027 es_ES
dc.description.upvformatpinicio 151 es_ES
dc.description.upvformatpfin 157 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 133 es_ES
dc.relation.pasarela S\413256 es_ES
dc.contributor.funder FUNDACION BBVA es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Ciencia, Innovación y Universidades es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem