Despite -- or perhaps because of -- their simplicity, n-grams, or contiguous
sequences of tokens, have been used with great success in computational
linguistics since their introduction in the late 20th century. Recast as
k-mers, or contiguous sequences of monomers, they have also found applications
in computational biology. When applied to the analysis of texts, n-grams
usually take the form of sequences of words. But if we try to apply this model
to the analysis of Sanskrit texts, we are faced with the arduous task of,
firstly, resolving sandhi to split a phrase into words, and, secondly,
splitting long compounds into their components. This paper presents a simpler
method of tokenizing a Sanskrit text for n-grams, by using n-aksaras, or
contiguous sequences of aksaras. This model reduces the need for sandhi
resolution, making it much easier to use on raw text. It is also possible to
use this model on Sanskrit-adjacent texts, e.g., a Tamil commentary on a
Sanskrit text. As a test case, the commentaries on Amarakosa 1.0.1 have been
modelled as n-aksaras, showing patterns of text reuse across ten centuries and
nine languages. Some initial observations are made concerning Buddhist
commentarial practices.

使用 n-aksaras 将梵文文本进行分词，使得在文本分析中无需解决 sandhi 等问题，测试结果显示可以跨越十个世纪和九种语言进行文本重用模式的分析，并对佛教评论实践的一些初步观察进行了讨论。