  Burrows' Delta was introduced in 2002 and has proven to be an effective tool
for author attribution. Despite the fact that these are different languages,
they mostly belong to the same grammatical type and use the same graphic
principle to convey speech in writing: a phonemic alphabet with word separation
using spaces. The question I want to address in this article is how well this
attribution method works with texts in a language with a different grammatical
structure and a script based on different principles. There are fewer studies
analyzing the effectiveness of the Delta method on Chinese texts than on texts
in European languages. I believe that such a low level of attention to Delta
from sinologists is due to the structure of the scientific field dedicated to
medieval Chinese poetry. Clustering based on intertextual distances worked
flawlessly. Delta produced results where clustering showed that the samples of
one author were most similar to each other, and Delta never confused different
poets. Despite the fact that I used an unconventional approach and applied the
Delta method to a language poorly suited for it, the method demonstrated its
effectiveness. Tang dynasty poets are correctly identified using Delta, and the
empirical pattern observed for authors writing in European standard languages
has been confirmed once again.
