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VERSION:2.0
PRODID:-//www.dariah.eu//Events//EN
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UID:019e45f2-44c5-736d-9b9c-db1dd799bdf3@www.dariah.eu
DTSTAMP:20260520T151245Z
DTSTART;VALUE=DATE:20260421
DTEND;VALUE=DATE:20260423
SUMMARY:Handwritten Text Recognition (HTR) for Historical Documents: Applyi
 ng HTRflow\, Exploring New Possibilities\, and Addressing Remaining Challe
 nges
DESCRIPTION:Join us for a two-day event dedicated to exploring the possibil
 ities and challenges of Handwritten Text Recognition (HTR) in the analysis
  of complex historical documents.\n\nThis event\, led by Riksarkivet data 
 scientists\, focuses on addressing these complexities and expanding the pr
 actical applications of HTR. During the workshops\, participants will work
  with Google Colab notebooks built around Riksarkivet’s Python package\,
  HTRflow\, allowing them to follow along during demonstrations and experim
 ent independently.\n\nThe event will also showcase Riksarkivet’s ongoing
  HTR initiatives\, featuring examples ranging from simple handwritten runn
 ing text to more complex document layouts.\n\nEvent programme:\n\nApril 21
 \, Morning (9:00-11:30 CET)\n Presentation and Discussion: An introduction
  to HTR in historical research\, with a focus on methodological challenges
  and opportunities.\n\nApril 21\, Afternoon (13:30-16:00 CET)\n Workshop I
 : Hands-on work with HTRflow using guided exercises.\n\nApril 22\, Morning
  (9:00-11:30 CET)\n Workshop II: Advanced workshop session exploring more 
 complex cases and tasks.\n\nThis is event is hosted with support through t
 he Machine Learning for Difficult Digitizations (MaLDD): Old Maps and Beyo
 nd project\, funded the LNU’s Faculty of Arts & Humanities’s Sara Lisa
  Initiative. This is also a Huminfra event\; Huminfra is Sweden’s nation
 al infrastructure supporting digital and experimental research in the huma
 nities\, of which both LNU and Riksarkivert are members. Lastly\, this eve
 nt is provided through the Centre for Digital Humanities at LNU.\n\nThe ev
 ent will be held in English.
LOCATION:Linnaeus University campus (Växjö) and online
URL:https://www.dariah.eu/events/handwritten-text-recognition-htr-for-histo
 rical-documents-applying-htrflow-exploring-new-possibilities-and-addressin
 g-remaining-challenges
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