id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
felbur-crosslingusitic-2022	felbur	felbur-crosslingusitic-2022	2022	14	.pdf	application/pdf	8223	359	53	While much effort is currently being invested in attempts to develop tools that will segment Chinese texts into words (some of them specifically designed to segment Buddhist materials, e.g. Wang, 2020), these tools remain unusable to us, since the underlying models themselves are often not openly released, and the training data used to create them is often not available. We then define Tibetan texts parallel to the Chinese sūtras as the ‘target.’	cache/felbur-crosslingusitic-2022.pdf	txt/felbur-crosslingusitic-2022.txt