The DOI matches its Crossref record; 1 of the 6 references it cites were found in a registry or an index.
Historical Ink: 19th Century Latin American Spanish Newspaper Corpus with LLM OCR Correction
Open accessAbstract
This paper presents two significant contributions: First, it introduces a novel dataset of 19thcentury Latin American newspaper texts, addressing a critical gap in specialized corpora for historical and linguistic analysis in this region.Second, it develops a flexible framework that utilizes a Large Language Model for OCR error correction and linguistic surface form detection in digitized corpora.This semi-automated framework is adaptable to various contexts and datasets and is applied to the newly created dataset.
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“the LatamXIX 5 dataset from the Historical Ink project which contains Latin American texts from newspapers within years 1845-1899 (Manrique-Gómez et al., 2024).”
From Historical Ink: Semantic Shift Detection for 19th Century Spanish (2024) · cites this paper as Manrique-Gómez et al., 2024
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“In the case of the LatamXIX dataset, these noisy rows were already filtered and complemented with an LLM OCR correction process that corrected many OCR errors within the corpus, making it cleaner and more fittable for the SSD task, as it preserves better semantic meaning for words and less noise.”
From Historical Ink: Semantic Shift Detection for 19th Century Spanish (2024) · cites this paper as Manrique-Gómez et al., 2024
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“These changes are detectable using the semi-automated framework presented as part of the Historical Ink project (Manrique-Gómez et al., 2024), which extracts useful lists of surface forms (i.e. specific appearance of a word in a given context) for words that underwent orthographic changes in 19th-century Latin-American Spanish”
From Historical Ink: Semantic Shift Detection for 19th Century Spanish (2024) · cites this paper as Manrique-Gómez et al., 2024
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Research works printed but not linked: 11
- David M. Berry and Anders Fagerjord. 2017. Digital Humanities: Knowledge and critique in a Digital age. Polity Press.
- Miriam Bouzouita and Mara Fuertes Gutiérrez. 2015. Spanish studies: Language and linguistics. The Year's Work in Modern Language Studies, 75:171- 185. · DOI
- José Cañete, Gabriel Chaperon, Rodrigo Fuentes, Jou- Hui Ho, Hojin Kang, and Jorge Pérez. 2020. Spanish pre-trained BERT model and evaluation data. In PML4DC at ICLR 2020.
- Guillaume Chiron, Antoine Doucet, Mickaël Coustaty, and Jean-Philippe Moreux. 2017. Icdar2017 competi- tion on post-OCR text correction. In 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), volume 01, pages 1423-1428. · DOI
- James E. Dobson. 2019. Critical Digital Humanities: The search for a methodology. University of Illinois Press.
- Zoe LeBlanc. 2024. More than keywords. The Ameri- can Historical Review, 129(1):164-168. · DOI
- Daniel Lopresti. 2008. Optical character recognition er- rors and their effects on natural language processing. In Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data, page 9-16. Asso- ciation for Computing Machinery. · DOI
- Thomas Montgomery. 1966. On the development of spanish y from "et". Romance Notes, 8(1):137-142.
- Kengatharaiyer Sarveswaran, Gihan Dias, and Miriam Butt. 2019. Using meta-morph rules to develop mor- phological analysers: A case study concerning Tamil. In Proceedings of the 14th International Conference on Finite-State Methods and Natural Language Pro- cessing, pages 76-86, Dresden, Germany. Associa- tion for Computational Linguistics. · DOI
- Elizabeth Soper, Stanley Fujimoto, and Yen-Yun Yu. 2021a. BART for post-correction of OCR newspa- per text. In Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021), pages 284-290, Online. Association for Computational Lin- guistics. · DOI
- Elizabeth Soper, Stanley Fujimoto, and Yen-Yun Yu. 2021b. BART for post-correction of OCR newspa- per text. In Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021), pages 284-290, Online. Association for Computational Lin- guistics. · DOI
Cited by
Ciencia de datos para la historia: datificar las fuentes para una historia (predictiva)
Manrique-Gómez, L., & Gómez, J. H. B. (2024) · Historia y grafía · doi:10.48102/hyg.vi64.541 · Cited by 8
Backer, S., & Hyman, L. (2025) · International Conference on Natural Language Processing for Digital Humanities (NLP4DH) · doi:10.18653/v1/2025.nlp4dh-1.21 · Cited by 6
Revolutionizing sentiment analysis with generative AI: techniques, trends, and challenges
Mamun, R., Sadman, S., Nabil, H. R., Mridha, M. F., & Kabir, M. (2026) · Multimedia Tools and Applications · doi:10.1007/s11042-026-21390-8 · Cited by 1
Historical Ink: Semantic Shift Detection for 19th Century Spanish
Montes, T., Manrique-Gómez, L., & Manrique, R. (2024) · arXiv · doi:10.48550/arxiv.2407.12852
Self-citationFilling in the Blanks: The Use of Digitised Historical Newspapers to Contextualise Auction Data
Austin, S. (2025) · Studies in art, heritage, law and the market · doi:10.1007/978-3-032-02014-7_9
Computational Approaches to Latin American Literary Production
Raynor, C. (2026) · Springer eBooks · doi:10.1007/978-3-031-77500-0_7-1
Metadata
- Authors
- Manrique-Gomez, L., Montes, T., Rodriguez Herrera, A., & Manrique, R.
- Affiliations
- Universidad de Los Andes (CO)
- ORCID
- Montes, Tony
- Venue
- Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities
- Published
- 2024
- Pages
- 132-139
- OpenAlex
- W4404781013
- Cited by
- 4
- References
- 0
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1
- FWCI
- 36.11
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- International Conference on Natural Language Processing for Digital Humanities (NLP4DH) (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion, cc-by)
- arXiv (Cornell University) (cc-by)
- Topics
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Digital Humanities and Scholarship
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Handwritten Text Recognition Techniques
- Keywords
- historical newspapers, newspaper corpus, OCR error correction, large language models, historical linguistics
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