Abstract
We describe the course of a hackathon dedicated to the development of linguistic tools for Tibetan Buddhist studies. Over a period of five days, a group of seventeen scholars, scientists, and students developed and compared algorithms for intertextual alignment and text classification, along with some basic language tools, including a stemmer and word segmenter.
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CITATION STYLE
APA
Almogi, O., Dankin, L., Dershowitz, N., & Wolf, L. (2019). A Hackathon for Classical Tibetan. Journal of Data Mining & Digital Humanities, Special Issue on...(Towards a Digital Ecosystem:...). https://doi.org/10.46298/jdmdh.2047
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