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Unpacking the State-of-the-Art in Handwritten Text Recognition

In an anachronistic quirk of artificial intelligence (AI), people may soon be able to see a new play by Lope de Vega, one of the foremost writers of Spain’s Golden Age. And no, this is not yet another case of ChatGPT being taken too far — it was written by the playwright himself.

Natural Language Processing Handwriting Recognition

La francesa Laura (The Frenchwoman Laura) may not be one of Lope de Vega’s greatest works, but the story of its discovery garnered plenty of attention when the news broke earlier this year. Once again, AI played the hero, facilitating the arduous process of authorship attribution by digitizing the handwritten text for stylometric analysis.

It was READ-COOP SCE’s Transkribus that aided and abetted Álvaro Cuéllar and Germán Vega’s research into authorship in the Golden Age. A sophisticated text recognition platform designed to revolutionize access to historical documents, Transkribus is rapidly gaining popularity with libraries and archives seeking to digitize primary sources for large-scale search and analysis.

 

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