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2018 EMNLP EMNLP 2018

A Machine Translation Approach for Modernizing Historical Documents Using Backtranslation

AbstractHuman language evolves with the passage of time. This makes historical documents to be hard to comprehend by contemporary people and, thus, limits their accessibility to scholars specialized in the time period in which a certain document was written. Modernization aims at breaking this language barrier and increase the accessibility of historical documents to a broader audience. To do so, it generates a new version of a historical document, written in the modern version of the document’s original language. In this work, we propose several machine translation approaches for modernizing historical documents. We tested these approaches in different scenarios, obtaining very encouraging results.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

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