Dr. Wim Peters
Mob. +31624126073
The leading scientist Wim Peters has years of academic experience in a multitude of projects. He is a computational linguist with a background in Classical Languages, multilingual knowledge extraction and modelling, digital archiving and consultation. He has a PhD from the University of Sheffield at the Department of Computer Science in the areas of computational linguistics and AI.
His main interest is the methodological application of natural language processing techniques in digital humanities and social sciences, and the conceptual modelling of the knowledge extracted by means of the collaboration between expert scholars and language technicians. His conviction is that computational involvement in Digital Humanities is in strict service to the needs of domain experts. Only then Digital Humanities and Social Science researchers – a considerable part of whom still remain to be convinced of the advantages of the digital revolution for their research – will embrace language technology across the board, from digitization to manual inspection and annotation to fully automated analysis.
References:
Peters, Wim, Louisa Parks and Mitchell Lennan. ‘Integrating Language Technology into Scholarly Research Workflows’. In: Lana Pitcher and Michael Pidd (Eds.), Proceedings of the Digital Humanities Congress 2018. Studies in the Digital Humanities. Sheffield: The Digital Humanities Institute, 2019. Read article
Parks, L. & Peters, W. (2022): Natural Language Processing in Mixed-methods Text Analysis: A Workflow Approach, International Journal of Social Research Methodology, DOI: 10.1080/13645579.2021.2018905 Read article