Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Data Linking Workshop 2023: Computer Vision and Natural Language Processing – Challenges in the Humanities

Domaine:

natural language processing

Type de record:

paper
Créateur:
MelHai
Éditeur:
Uni
Hôte:avatar
The humanities meet computer science to create new synergies using computer vision and natural language processing. Aim & Scope Historians are increasingly using technologies to evaluate digitised texts in a machine-readable way, as well as techniques from the field of natural language processing (NLP) to analyse the content and context of language in written artefacts. These techniques can be used to analyse large corpora and identify patterns. In general, however, these methods often use training data from current rather than historical data. The use of these methods can lead to biases in the historical record, incurring the risk of false inferences about history. Therefore, the methods used should be fully investigated to account for any biases. In this DL workshop, the challenges of applying computer vision and NLP techniques in the humanities, and first solutions to them, will be presented. This entry includes the following presentations from the first Data Linking Workshop 2023: Computer Vision and Natural Language Processing – Challenges in the Humanities Pepper, Welcome (download text, download presentation) Eva Wilden, Charles Li: Tamilex -- Digital Lexicography (download presentation) Stefan Baums, Stephen White: Computer Vision and Kharoṣṭhī Paleography (download presentation) Oskar von Hinüber, Haiyan Hu-von Hinüber, Sylvia Melzer: What the Buddhological Epigraphy can expect from the AI: The Information System "Buddhist Bronzes Inscriptions" (download presentation) Kathrin Holz: The Proto-Śāradā Project: Towards the edition of a new collection of administrative letters and documents from pre-modern South Asia (download presentation) Ines Konczak-Nagel, Erik Radisch:
The Kucha Mural Information System: Taxonomy and Semi-Automated Image Recognition (download presentation 1, download presentation 2) Ralf Möller: Aligned AI and the role of the humanities: Training AI systems using human feedback (download presentation) Isabelle Marthot-Santaniello: The application of NLP in combination with Computer Vision for analysing ancient Greek handwritings on papyri (download presentation) Olga Serbaeva: Some features of the 17th century Newārī script: READ-based statistical approach to palaeography (download presentation) Lena Hinrichsen: OCR technologies in research practice (download presentation) Oliver Hellwig: Web-based information systems for Indian scripts and texts (download presentation) Simon Schiff, Ralf Möller: Persistent Data, Sustainable Information (download presentation) Hamid Reza Hakimi, Lisa Mischer, Tariq Yousef, Maxim Romanov: Finding and Linking Information in Arabic Historical Texts (download presentation) Sylvia Melzer: Building Information Systems on Demand with ChatGPT? (download presentation) Martin Braun, Hannes Fellner, Bernhard Koller: A Digital Paleography of Tarim Brahmi (download presentation) Hussein Mohammed: Computer vision beyond OCR: potentials and challenges for the study of written artefact (download presentation) Pepper, Bye (download text, download presentation) The workshop was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC 2176 'Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796.

Visit

doi.orgwww.fdr.uni-hamburg.de

Tasks

computer visionoptical character recognition

Languages

Dawro

Tags

UWACSMCData LinkingRFFAINatural Language ProcessingNLPComputer VisionCVCHAI+3

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcodeOpen Accessinfo:eu-repo/semantics/openAccess

Similaires

Natural Language Processing Challenges and Opportunities in Burundian African LanguagesNatural Language Processing Challenges and Opportunities in Eswatini African LanguagesEp1cGorvenator/COMP702-Image-Processing-and-Computer-Vision-ProjectAfrican Perspectives on Natural Language Processing Challenges and OpportunitiesNatural Language Processing Challenges and Opportunities in African Languages of TogoNatural Language Processing Challenges and Opportunities in Burundi's African Languages Context

Natural Language Processing Challenges and Opportunities in Burundian African Languages

Natural Language Processing (NLP) is a critical area within Computer Science that aims to e

Natural Language Processing Challenges and Opportunities in Eswatini African Languages

This study addresses a current research gap in Computer Science concerning Natural Language

Ep1cGorvenator/COMP702-Image-Processing-and-Computer-Vision-Project

South African Bank Notes Recognition using Image Processing pipeline # COMP702-Image-Processing-and

African Perspectives on Natural Language Processing Challenges and Opportunities

Natural Language Processing (NLP) is a field within Computer Science that focuses on enabling comput

Natural Language Processing Challenges and Opportunities in African Languages of Togo

Natural Language Processing (NLP) is a critical component of artificial intelligence that e

Natural Language Processing Challenges and Opportunities in Burundi's African Languages Context

Natural Language Processing (NLP) has seen significant advancements in English and other We