Help Privacy Policy Disclaimer
  Advanced SearchBrowse




Journal Article

New machine learning methods demonstrate the existence of a human stylome


Baayen,  R. Harald
Pioneer, external;
Other Research, MPI for Psycholinguistics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

van Halteren_(2005)_new.pdf
(Publisher version), 293KB

Supplementary Material (public)
There is no public supplementary material available

Van Halteren, H., Baayen, R. H., Tweedie, F., Haverkort, M., & Neijt, A. (2005). New machine learning methods demonstrate the existence of a human stylome. Journal of Quantitative Linguistics, 12(1), 65-77. doi:10.1080/09296170500055350.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-1CB6-5
Earlier research has shown that established authors can be distinguished by measuring specific properties of their writings, their stylome as it were. Here, we examine writings of less experienced authors. We succeed in distinguishing between these authors with a very high probability, which implies that a stylome exists even in the general population. However, the number of traits needed for so successful a distinction is an order of magnitude larger than assumed so far. Furthermore, traits referring to syntactic patterns prove less distinctive than traits referring to vocabulary, but much more distinctive than expected on the basis of current generativist theories of language learning.