TraPrInq - Transcription model to recognize Portuguese handwritten texts from the 16th to 19th centuries

Description This model trained using the TraPrInq Project dataset, which encompasses a comprehensive collection of Portuguese handwritten documents from the 16th to 19th centuries. The dataset, made available through Open Science principles on Zenodo (Portuguese Handwriting 16th-19th c. Dataset), includes over 6,400 transcribed pages from the Portuguese Inquisition records, divided into nine training sets and one final validation set. The dataset was meticulously transcribed and curated by members of the TraPrInq project, ensuring the highest level of accuracy and alignment with paleographic transcription standards. The model benefits from these high-quality transcriptions and aims to facilitate the recognition of Portuguese historical manuscripts, addressing challenges like degraded texts, varying handwriting styles, and historical abbreviations. Model Details (BETA VERSION) The model was trained by Weslley Oliveira with Kraken v.5.3.1 using: Datasets: Training set 146740 lines, validation set 16305 lines, Normalization: Unicode Normalization Form Decomposed (NFD). Specification: [1,120,0,1 Cr3,13,32 Do0.1,2 Mp2,2 Cr3,13,64 Do0.1,2 Mp2,2 Cr3,9,128 Do0.1,2 Mp2,2 Cr3,9,256 Do0.1,2 S1(1x0)1,3 Lbx400 Do0.1,2 Lbx400 Do.1,2 Lbx400 Do] Optimization: Ground truth corrections based on manual transcription of historical texts. The resulting model is designed to recognize Portuguese handwritten documents from a variety of historical contexts, with potential applications in digitization projects, archival research, and cultural heritage preservation. Results (BETA VERSION) Report generated using random 4% of the dataset: 93.16% Character Accuracy 95.59% Character Accuracy (Case-insensitive) 95.50% Latin/Common Character Report 258977 Characters17726 Errors93.16% Character Accuracy93.59% Character Accuracy (Case-insensitive)74.59% Word Accuracy 7434 Insertions2089 Deletions8203 Substitutions Count Missed %Right204481 11241 94.50% Latin48830 2711 94.45% Common5666 1685 70.26% Inherited Reference Portuguese Handwriting 16th-19th c. - TraPrInq - https://zenodo.org/records/13986218e-Inquisition - Transcribing the court records of the Portuguese Inquisition (1536-1821) - https://traprinq.hypotheses.org/ kraken - Kraken is a turn-key OCR system optimized for historical and non-Latin script material - https://github.com/mittagessen/kraken

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-20
DOI
https://doi.org/10.5281/zenodo.14538271
Primary Topic
Handwritten Text Recognition Techniques
Type
article
Field-Weighted Citation Impact
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article

TraPrInq - Transcription model to recognize Portuguese handwritten texts from the 16th to 19th centuries

Zenodo (CERN European Organization for Nuclear Research)
Handwritten Text Recognition Techniques
article

TraPrInq - Transcription model to recognize Portuguese handwritten texts from the 16th to 19th centuries

article en

Abstract

Description This model trained using the TraPrInq Project dataset, which encompasses a comprehensive collection of Portuguese handwritten documents from the 16th to 19th centuries. The dataset, made available through Open Science principles on Zenodo (Portuguese Handwriting 16th-19th c. Dataset), includes over 6,400 transcribed pages from the Portuguese Inquisition records, divided into nine training sets and one final validation set. The dataset was meticulously transcribed and curated by members of the TraPrInq project, ensuring the highest level of accuracy and alignment with paleographic transcription standards. The model benefits from these high-quality transcriptions and aims to facilitate the recognition of Portuguese historical manuscripts, addressing challenges like degraded texts, varying handwriting styles, and historical abbreviations. Model Details (BETA VERSION) The model was trained by Weslley Oliveira with Kraken v.5.3.1 using: Datasets: Training set 146740 lines, validation set 16305 lines, Normalization: Unicode Normalization Form Decomposed (NFD). Specification: [1,120,0,1 Cr3,13,32 Do0.1,2 Mp2,2 Cr3,13,64 Do0.1,2 Mp2,2 Cr3,9,128 Do0.1,2 Mp2,2 Cr3,9,256 Do0.1,2 S1(1x0)1,3 Lbx400 Do0.1,2 Lbx400 Do.1,2 Lbx400 Do] Optimization: Ground truth corrections based on manual transcription of historical texts. The resulting model is designed to recognize Portuguese handwritten documents from a variety of historical contexts, with potential applications in digitization projects, archival research, and cultural heritage preservation. Results (BETA VERSION) Report generated using random 4% of the dataset: 93.16% Character Accuracy 95.59% Character Accuracy (Case-insensitive) 95.50% Latin/Common Character Report 258977 Characters17726 Errors93.16% Character Accuracy93.59% Character Accuracy (Case-insensitive)74.59% Word Accuracy 7434 Insertions2089 Deletions8203 Substitutions Count Missed %Right204481 11241 94.50% Latin48830 2711 94.45% Common5666 1685 70.26% Inherited Reference Portuguese Handwriting 16th-19th c. - TraPrInq - https://zenodo.org/records/13986218e-Inquisition - Transcribing the court records of the Portuguese Inquisition (1536-1821) - https://traprinq.hypotheses.org/ kraken - Kraken is a turn-key OCR system optimized for historical and non-Latin script material - https://github.com/mittagessen/kraken

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 63%
Handwritten Text Recognition Techniques
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TraPrInq - Transcription model to recognize Portuguese handwritten texts from the 16th to 19th centuries · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS