DOAJ Open Access 2023

OCR17: Ground Truth and Models for 17th c. French Prints (and hopefully more)

Simon Gabay Thibault Clérice Christian Reul

Lihat Sumber DOI

Abstrak

Machine learning begins with machine teaching: in the following paper, we present the data that we have prepared to kick-start the training of reliable OCR models for 17th century prints written in French. The construction of a representative corpus is a major challenge: we need to gather documents from different decades and of different genres to cover as many sizes, weights and styles as possible. Historical prints containing glyphs and typefaces that have now disappeared, transcription is a complex act, for which we present guidelines. Finally, we provide preliminary results based on these training data and experiments to improve them.

Topik & Kata Kunci

History of scholarship and learning. The humanities Bibliography. Library science. Information resources

Penulis (3)

Simon Gabay

Thibault Clérice

Christian Reul

Format Sitasi

APA MLA BibTeX

Gabay, S., Clérice, T., Reul, C. (2023). OCR17: Ground Truth and Models for 17th c. French Prints (and hopefully more). https://doi.org/10.46298/jdmdh.6492

Akses Cepat

Lihat di Sumber doi.org/10.46298/jdmdh.6492

Informasi Jurnal

Tahun Terbit: 2023
Sumber Database: DOAJ
DOI: 10.46298/jdmdh.6492
Akses: Open Access ✓