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  • Lessons Learned Developing and Using a Machine Learning Model to Automatically Transcribe 2.3 Million Handwritten Occupation Codes

    Bjørn-Richard Pedersen, Einar Holsbø, Trygve Andersen, Nikita Shvetsov, Johan Ravn, Hilde Leikny Sommerseth, Lars Ailo Bongo
    1-17
    2022-01-06
  • POPP. An OCR-Generated Database of the Population Censuses of Paris (1926–1936)

    Sandra Brée, Victor Gay, Marion Leturcq, Baptiste Coulmont, Yoann Doignon, Thomas Constum, Thierry Paquet, Pierrick Tranouez
    3-28
    2026-02-12
  • More Efficient Manual Review of Automatically Transcribed Tabular Data

    Bjørn-Richard Pedersen, Rigmor Katrine Johansen, Einar Holsbø, Hilde Leikny Sommerseth, Lars Ailo Bongo
    3-15
    2024-04-04
  • Automating Historical Source Transcription

    Gunnar Thorvaldsen
    59-63
    2021-03-31
  • A Comparison of Rule-based and Supervised Machine Learning Approaches for Record Linkage of Italian Historical Data

    Saverio Minardi, Suzanne Greco, Nicola Barban
    28-46
    2025-06-03
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Latest Articles

Household-Anchored Record Linkage in Ottoman Population Registers. A Dynamic Tolerance Protocol for Low-Information Administrative Proto-Census Data

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Causes of Death in Late Imperial Ekaterinburg, Russia. Burial Records, Database, Analysis

– Elena Glavatskaya, Dmitry Bakharev, Elizaveta Zabolotnykh and Alexandr Bobitsky  (July 13, 2026)

Church Death Registers as a Source for Researching Causes of Death Before and During World War I. The Case of the Parish Church in Dračić (Serbia)

– Vladimir Krivošejev (July 7, 2026)

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