An Interactive Machine Translation Framework for Modernizing the Language of Historical Documents

Domingo, M.; Casacuberta, Francisco

doi:10.1007/978-3-031-04881-4_4

Cited by 2 publications

(4 citation statements)

References 27 publications

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“…However, although they approached language modernization using a set of rules, the task was focused on achieving an orthography consistency on the document's spelling. Domingo and Casacuberta [10] proposed a neural machine translation (NMT) approach. Sen et al [47] augmented the training data by extracting pairs of phrases and adding them as new training sentences.…”

Section: Related Workmentioning

confidence: 99%

“…Among others, it contains a version from 1637-which we consider as the original version-and another from 1888-which we consider as the modern version (using nineteenth-century Dutch as if it were modern Dutch). -El Quijote [10]: the well-known seventeenth-century Spanish novel by Miguel de Cervantes, and its correspondent twenty-first-century version. -OE-ME [47]: contains the original eleventh-century English text The Homilies of the Anglo-Saxon Church and a nineteenth-century version-which we consider as modern English.…”

Section: Corporamentioning

confidence: 99%

“…This work builds upon Domingo and Casacuberta [14], which applied the IMT framework to language modernization. Our contributions are as follows:…”

Section: Introductionmentioning

confidence: 99%

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Interactive machine translation for the language modernization and spelling normalization of historical documents

Domingo

Casacuberta

2023

Pattern Anal Applic

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Historical documents are an important part of our cultural heritage. Among other task related to their processing, it is important to modernize their language in order to make them accessible to a broader audience and to achieve an orthography consistency to reduce the linguistic variation inherent in them. Language modernization and spelling normalization have those goals in mind. However, they still have a long way to go. Thus, in order to help scholars generate error-free modernizations/normalizations when the quality is essential, we propose an interactive framework based on interactive machine translation. In this work, we deployed two different interactive protocols into these tasks. We evaluated our proposal under simulated environments, observing significant reductions of the human effort.

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Section: Related Workmentioning

confidence: 99%

Section: Corporamentioning

confidence: 99%

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Interactive machine translation for the language modernization and spelling normalization of historical documents

Domingo

Casacuberta

2023

Pattern Anal Applic

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“…This subsection describes the proposed approach for integrating neural machine translation (NMT) models into IMT protocols. We first provide background on the statistical formulation of machine translation that serves as the basis for our techniques [34]. We then explain the architecture and training of encoder-decoder NMT models.…”

Section: Interactive Neural Machine Translationmentioning

confidence: 99%

Bridging Human-Computer Interaction and Ecofeminism: Insights from Deleuze and AI

Dong,

Kim,

Slowik

et al. 2023

J Multimed Inf Syst

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The rapid advancements in Artificial Intelligence (AI) and human-computer interaction (HCI) have profound implications for society. However, the integration of Ecofeminism and Deleuzian philosophy still needs to be explored in this context. While existing literature has separately examined HCI, Ecofeminism, and Deleuze's concept of "becoming-woman," there is a lack of interdisciplinary studies that bring these diverse perspectives together, particularly in AI and contemporary literature. This paper introduces a novel framework that integrates HCI, Ecofeminism, and Deleuze's "becoming-woman" to analyze AI technologies and literary works. We employ this interdisciplinary lens to critique and reimagine AI systems, advocating for more inclusive and ecologically responsible designs. We offer a comprehensive review of contemporary literature that engages with these themes, enriching the discourse in HCI and literary studies. Moreover, we integrate neural machine translation (NMT) models into interactive machine translation to propose a classical prefix-based NMT segment-based interactive protocol, i.e., the interactive NMT (iNMT) method. The positive impacts of such an iNMT method, when viewed through the lens of HCI, ecofeminism, and Deleuzian philosophy, lie in its potential to democratize interactions, amplify marginalized voices, and offer new tools and metaphors for exploring fluid identities in contemporary literature and beyond. Our findings reveal that incorporating Ecofeminist and Deleuzian perspectives can lead to more ethical and inclusive AI systems. Additionally, we identify emerging trends in contemporary literature that resonate with these interdisciplinary concerns, suggesting a fertile ground for future research and collaboration.

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

Cited by 2 publications

References 27 publications

Interactive machine translation for the language modernization and spelling normalization of historical documents

Interactive machine translation for the language modernization and spelling normalization of historical documents

Bridging Human-Computer Interaction and Ecofeminism: Insights from Deleuze and AI

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