Tutorial on NE processing for Digital Humanities - DH Utrech 2019
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Updated
Jul 18, 2019 - Jupyter Notebook
Tutorial on NE processing for Digital Humanities - DH Utrech 2019
Generates structured summaries, timelines, and thematic insights from historical or cultural texts using pattern matching and language models.
Small Python wrapper class for the CAB webservice.
This database compiles structured data from Chinese *leishu* (encyclopedic compendia), providing convenient access and support for researchers.
📜 Transform historical and thematic text into structured data with precision using this Python package, ensuring consistent results with pattern validation.
A critical Digital Humanities project examining Montesquieu's De l'esprit des lois Book XIX through computational methods that expose the friction between contextual humanistic philosophy and digital infrastructure designed for other purposes.
ChunQiuTR: Code and benchmark for time-keyed temporal retrieval in Classical Chinese annals
A study on the historical authenticity of a text. The historical authenticity is evaluated by comparing the frequencies of unigrams, bigrams and trigrams of a given text to the frequencies of the ngrams of texts written in the period of +/- 5 years from the claimed date of the release of the given text and to the frequency of the ngrams of recen…
This R data package provides access to texts of Peace Books, reference reports prepared by the Historical Section of the British Foreign Office between 1918 and 1919 for use by the British Delegation at the Paris Peace Conference in 1919.
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