most citedLarge Scale Genealogical Information Extraction From Handwritten Quebec Parish Records

14 citations · 14 across the 6 of their papers we have counts for

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cs.CV20241 cited

Revisiting N-Gram Models: Their Impact in Modern Neural Networks for Handwritten Text Recognition

Solène Tarride, Christopher Kermorvant

In recent advances in automatic text recognition (ATR), deep neural networks have demonstrated the ability to implicitly capture language statistics, potentially reducing the need…

cs.CV20241 cited

Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library

Solène Tarride, Yoann Schneider, Marie Generali-Lince +3

PyLaia is one of the most popular open-source software for Automatic Text Recognition (ATR), delivering strong performance in terms of speed and accuracy. In this paper, we outline…

cs.CV20241 cited

Reading Order Independent Metrics for Information Extraction in Handwritten Documents

David Villanova-Aparisi, Solène Tarride, Carlos-D. Martínez-Hinarejos +3

Information Extraction processes in handwritten documents tend to rely on obtaining an automatic transcription and performing Named Entity Recognition (NER) over such transcription…

cs.CV2023

How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning

Vittorio Pippi, Silvia Cascianelli, Christopher Kermorvant +1

Recent advancements in Deep Learning-based Handwritten Text Recognition (HTR) have led to models with remarkable performance on both modern and historical manuscripts in large benc…

cs.CV202314 cited

Large Scale Genealogical Information Extraction From Handwritten Quebec Parish Records

Solène Tarride, Martin Maarand, Mélodie Boillet +4

This paper presents a complete workflow designed for extracting information from Quebec handwritten parish registers. The acts in these documents contain individual and family info…

cs.CV2023

SIMARA: a database for key-value information extraction from full pages

Solène Tarride, Mélodie Boillet, Jean-François Moufflet +1

We propose a new database for information extraction from historical handwritten documents. The corpus includes 5,393 finding aids from six different series, dating from the 18th-2…