Historical Portuguese corpora: a survey

Author:

Osório Tomás Freitas,Lopes Cardoso Henrique

Abstract

AbstractThis survey aims to thoroughly examine and evaluate the current landscape of electronic corpora in historical Portuguese. This is achieved through a comprehensive analysis of existing resources. The article makes two main contributions. The first is an exhaustive cataloguing of existing Portuguese historical corpora, where each corpus is meticulously detailed regarding linguistic periods, geographic origins, and thematic contents. The second contribution focuses on the digital accessibility of these corpora for researchers. These contributions are crucial in enhancing and progressing the study of historical corpora in the Portuguese language, laying a critical groundwork for future linguistic research in this field. Our survey identified 20 freely accessible corpora, comprising approximately 63.9 million tokens, and two private corpora, totalling 59.9 million tokens.

Funder

Artificial Intelligence and Computer Science Laboratory

Universidade do Porto

Publisher

Springer Science and Business Media LLC

Reference101 articles.

1. Abadji, J., Ortiz Suarez, P., Romary, L., & Sagot, B. (2022). Towards a cleaner document-oriented multilingual crawled corpus. arXiv e-prints, 2201–06642 arXiv:2201.06642 [cs.CL]

2. Alatrash, R., Schlechtweg, D., Kuhn, J., & Walde, S. (2020). CCOHA: Clean Corpus of Historical American English. In: Proceedings of the Twelfth Language Resources and Evaluation Conference, pp. 6958–6966. European Language Resources Association, Marseille, France. https://aclanthology.org/2020.lrec-1.859 Accessed 2023-09-23

3. Arquivo dos Açores. https://hdl.handle.net/21.11129/0000-000D-F8C0-2. Accessed: 16-5-2023

4. ARQUIVO PESSOA. http://arquivopessoa.net/. Accessed: 15-05-2023

5. As Memórias Paroquiais de 1758. http://www.cidehusdigital.uevora.pt/portugal1758. Accessed: 15-05-2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3