A Hackathon for Classical TibetanArticle
Authors: Orna Almogi 1,2; Lena Dankin 3; Nachum Dershowitz 3; Lior Wolf 3
NULL##NULL##NULL##NULL
Orna Almogi;Lena Dankin;Nachum Dershowitz;Lior Wolf
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.
Volume: Special Issue on Computer-Aided Processing of Intertextuality in Ancient Languages
Section: Towards a Digital Ecosystem: NLP. Corpus infrastructure. Methods for Retrieving Texts and Computing Text Similarities
Published on: January 1, 2019
Accepted on: December 31, 2018
Submitted on: August 7, 2017
Keywords: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY], [en] stemming, hackathon, Tibetan, Buddhist studies, segmentation, intertextual alignment, text classification
Funding:
Source : OpenAIRE Graph- Funder: French National Research Agency (ANR); Code: ANR-11-LABX-0027