Automatic Transcription of Handwritten Old Occitan Language

Esteban Garces Arias, Vallari Pai, Matthias Schöffel, Christian Heumann, Matthias Aßenmacher


Abstract
While existing neural network-based approaches have shown promising results in Handwritten Text Recognition (HTR) for high-resource languages and standardized/machine-written text, their application to low-resource languages often presents challenges, resulting in reduced effectiveness. In this paper, we propose an innovative HTR approach that leverages the Transformer architecture for recognizing handwritten Old Occitan language. Given the limited availability of data, which comprises only word pairs of graphical variants and lemmas, we develop and rely on elaborate data augmentation techniques for both text and image data. Our model combines a custom-trained Swin image encoder with a BERT text decoder, which we pre-train using a large-scale augmented synthetic data set and fine-tune on the small human-labeled data set. Experimental results reveal that our approach surpasses the performance of current state-of-the-art models for Old Occitan HTR, including open-source Transformer-based models such as a fine-tuned TrOCR and commercial applications like Google Cloud Vision. To nurture further research and development, we make our models, data sets, and code publicly available.
Anthology ID:
2023.emnlp-main.953
Volume:
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Month:
December
Year:
2023
Address:
Singapore
Editors:
Houda Bouamor, Juan Pino, Kalika Bali
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
15416–15439
Language:
URL:
https://aclanthology.org/2023.emnlp-main.953
DOI:
10.18653/v1/2023.emnlp-main.953
Bibkey:
Cite (ACL):
Esteban Garces Arias, Vallari Pai, Matthias Schöffel, Christian Heumann, and Matthias Aßenmacher. 2023. Automatic Transcription of Handwritten Old Occitan Language. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15416–15439, Singapore. Association for Computational Linguistics.
Cite (Informal):
Automatic Transcription of Handwritten Old Occitan Language (Garces Arias et al., EMNLP 2023)
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