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Chinese Natural Language Processing for Digital Humanities (CNLP4DH)
This special issue is dedicated to natural language processing for digital humanities involving the documents written in Chinese, including Modern, Ancient and dialectal Chinese. Mandarin, which is the national official and main common language, can be accepted and research on texts written in other languages, such as Tibet, Inner Mongolia, etc., is also welcome.
A list of suitable topics includes but are not limited to:
- Text analysis and processing related to humanities using computational methods
- Dataset creation and curation for NLP (e.g. digitization, datafication, and data preservation).
- Research on cultural heritage collections such as national archives and libraries using NLP
- NLP for error detection, correction, normalization and denoising data
- Generation and analysis of literary works such as poetry and novels
- Analysis and detection of text genres
- Word segmentation, part-of-speech tagging of Ancient Chinese
- Large Language Models (LLM) for Chinese in Digital Humanities
- Cross modal Models (text-speech-video-image) for Chinese in Digital Humanities
- Visualization of text analytics
- Ontology models for natural language text
- Applications in Chinese Literature, Traditional Chinese medicine, Learning Chinese language as second language, Sentiment Analysis in Chinese Social Media, China Cultural Heritage, Chinese History, Ancient Chinese language
The scope of this special issue is specifically in applications and use of Chinese natural language processing in digital humanities research. While we welcome diverse practical, theoretical and methodological contributions, special emphasis will be given to studies that demonstrate concrete, successful and real interaction between these two fields. Contributions from both digital humanities or natural language processing focus are equally welcome, but submitted papers should contain aspects where these fields intersect.
Guest Editors:
Dr. Wenhe FENG (Guangdong University of Foreign Studies, Laboratory of Language Engineering and Computing)
Dr. Bin LI (Nanjing Normal University, School of Chinese Language and Literature, Center of Linguistic Big Data and Computational Humanities)
Dr. Nicolas TURENNE (Guangdong University of Foreign Studies, School of Information Science and Technology)
Dr. Tong WEI (Beijing University, Digital Humanities Center)
As a reminder JDMDH is a green open access journal, i.e. free of charge for authors and readers (no article processing charges)