Historical Documents Modernization

Domingo, M.; Chinea-Rios, Mara; Casacuberta, Francisco

doi:10.1515/pralin-2017-0028

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…However, they also approached document modernization using a set of rules. Domingo et al (2017a) proposed a modernization approach based on statistical machine translation (SMT). A neural machine translation (NMT) approach was proposed by Domingo and Casacuberta (2018a).…”

Section: Related Workmentioning

confidence: 99%

An Interactive Machine Translation Framework for Modernizing Historical Documents

Domingo,

Casacuberta

2019

Preprint

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Due to the nature of human language, historical documents are hard to comprehend by contemporary people. This limits their accessibility to scholars specialized in the time period in which the documents were written. Modernization aims at breaking this language barrier by generating a new version of a historical document, written in the modern version of the document's original language. However, while it is able to increase the document's comprehension, modernization is still far from producing an error-free version. In this work, we propose a collaborative framework in which a scholar can work together with the machine to generate the new version. We tested our approach on a simulated environment, achieving significant reductions of the human effort needed to produce the modernized version of the document.

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Section: Related Workmentioning

confidence: 99%

An Interactive Machine Translation Framework for Modernizing Historical Documents

Domingo,

Casacuberta

2019

Preprint

Self Cite

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show abstract

“…However, they also approached document modernization using a set of rules. Domingo et al (2017) proposed a modernization approach based on statistical machine translation (SMT). A neural machine translation (NMT) approach was proposed by Domingo and Casacuberta (2018).…”

Section: Introductionmentioning

confidence: 99%

Modernizing historical documents: A user Study

Domingo

Casacuberta

2020

Pattern Recognition Letters

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Accessibility to historical documents is mostly limited to scholars.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.

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An Interactive Machine Translation Framework for Modernizing the Language of Historical Documents

Domingo

Casacuberta

2022

Lecture Notes in Computer Science

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Historical Documents Modernization

Cited by 5 publications

References 12 publications

An Interactive Machine Translation Framework for Modernizing Historical Documents

An Interactive Machine Translation Framework for Modernizing Historical Documents

Modernizing historical documents: A user Study

An Interactive Machine Translation Framework for Modernizing the Language of Historical Documents

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