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DTSTART:20251014T123000Z
DTEND:20251014T140000Z
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SUMMARY:Custom models with Transkribus (Session 2 of 2 in workshop series: Automatic multi-language text transcription for hand-written or typeset documents)
DESCRIPTION:Users with access to the gROW learning environment (those with 
 a U/E-number) can find more information about workshops and courses offered 
 by the Radboud Digital Competence Centre here. The gROW environment is the 
 official location for these materials\, and gROW is preferred to libcal for 
 sign-ups and for exploring our materials. Follow this link to go directly 
 to the gROW page for the current workshop series. Users who are unable to 
 access gROW are welcome to register using libcal. A overview of the 
 currently scheduled digital methods trainings can be found on libcal after 
 filtering by the category "DCC" (linked here for convenience). \n\nSeries 
 overview:\n\nTranskribus is a suite of tools which facilitate the automatic 
 transcription of documents. The software is maintained by a European 
 cooperative (READ-COOP)\, with access provided through an RU subscription. 
 Although originally designed to provide an environment to facilitate the 
 manual transcription of documents\, the software now supports automatic 
 transcription in large number of languages\, both hand-written and typeset 
 text\, and can provide competent transcriptions in these languages at 
 different stages of their evolution (e.g. Old English). In addition to its 
 ability to process non-modern languages\, Transkribus can also process text 
 on discolored or otherwise degraded pages. It is hence suitable for 
 transcription projects featuring historical documents. An additional key 
 benefit of this software is the capability it provides to users to easily 
 train custom models that can automatically identify complex layouts and 
 fine-tune the text recognition process. This is helpful when transcribing 
 difficult documents (e.g. historical diaries).\n\nThis workshop series 
 consists of two sessions. The first session covers introductory material 
 and introduces participants to common Transkribus workflows and document 
 management. The second provides an in-depth overview of the model training 
 system for a diverse set of documents provided for the session. 
 Participants are free to attend one or both sessions depending on their 
 background and interest. This workshop series is perhaps most useful to 
 humanities researchers\, but is likely interesting to anyone interested in 
 text transcription.\n\nSession 1: Introduction to Transkribus (sign up for 
 Session 1 with this link)\n\nIn this session\, participants will learn 
 about the capabilities and functionality of Transkribus. This includes how 
 to upload and manage documents\, how process documents to produce 
 transcribed output\, how to correct the output\, and how to use the 
 transcriptions for down-stream analyses. Participants are encouraged to 
 bring their own documents to experiment with Transkribus during the 
 session. Some time will also be dedicated to describing the different 
 deep-learning models available for various aspects of text and layout 
 recognition.\n\nSession 2: Training custom layout and text-recognition 
 models with Transkribus (sign up for Session 2 on the current 
 page)\n\nAutomatic transcription in Transkribus often works extremely well 
 out-of-the-box\, producing fewer errors in many cases than expert human 
 transcribers. There are limitations however which become clear when dealing 
 with\, for example\, complex layouts\, unconventional typesetting\, poor 
 hand-writing and spelling errors. In this workshop\, users will learn how 
 to train their own models to address these challenges. Model training can 
 be somewhat complicated\, but the workflow in Transkribus simplifies the 
 process enough so that non-programmers can make use of powerful tools 
 otherwise unavailable to them. In this session users will learn how to 
 perform a first-pass transcription to produce output which can then be 
 corrected and used as training data for a custom text recognition model. 
 Participants will also learn how to assess model performance\, and 
 understand what kind of models should be used for specific stages of the 
 text transcription workflow. Some background with Transkribus is necessary 
 to follow the material in this session. Participants who are new to 
 Transkribus or who would like a refresher are encouraged to first attend 
 the introductory session.
LOCATION:1.05B Central Library Instruction Room\, Central Library 
ORGANIZER;CN="Daniel Sharoh":MAILTO:Daniel.Sharoh@ru.nl
CATEGORIES:DCC, Text Mining
CONTACT;CN="Daniel Sharoh":MAILTO:Daniel.Sharoh@ru.nl
STATUS:CONFIRMED
UID:LibCal-4406349
URL:https://libcal.ru.nl/event/4406349
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