CLCYSep 27, 2016

A Hackathon for Classical Tibetan

arXiv:1609.08389v24 citations
AI Analysis

This work addresses the need for computational tools in Tibetan Buddhist studies, but it is incremental as it builds on existing methods without introducing new paradigms.

The authors organized a hackathon to develop linguistic tools for Tibetan Buddhist studies, resulting in algorithms for intertextual alignment and text classification, as well as basic tools like a stemmer and word segmenter, created by a team of 17 participants over five days.

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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