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The Time-Us project. Creating gold data to understand the gender gap in the French textile trades (17th-20th century).

, , , , and . DH, page 471-472. Red de Humanidades Digitales A. C., (2018)

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Workshop HTR-United: metadata, quality control and sharing process for HTR training data., and . DH, (2023)"I'm here to fight for ground truth": HTR-United, a solution towards a common for HTR training data., and . DH, (2023)The Time-Us project. Creating gold data to understand the gender gap in the French textile trades (17th-20th century)., , , , and . DH, page 471-472. Red de Humanidades Digitales A. C., (2018)Manu McFrench, from zero to hero: impact of using a generic handwriting model for smaller datasets., , , , , , , , and . DH, (2023)From FreEM to D'AlemBERT: a Large Corpus and a Language Model for Early Modern French., , , , , , and . LREC, page 3367-3374. European Language Resources Association, (2022)Exploring Data Provenance in Handwritten Text Recognition Infrastructure: Sharing and Reusing Ground Truth Data, Referencing Models, and Acknowledging Contributions. Starting the Conversation on How We Could Get It Done., , , , , , , , , and 50 other author(s). J. Data Min. Digit. Humanit., (2024)Reconstructing the gendered division of labor in the French textile trades. Distant reading of primary qualitative sources with NLP tools (18th century-beginning of the 20th century)., , , , , and . DH, (2020)