New machine learning methods demonstrate the existence of a human stylome

Van Halteren, Hans; Baayen, R. Harald; Tweedie, Fiona; Haverkort, Marco; Neijt, Anneke

doi:10.1080/09296170500055350

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

学術論文

New machine learning methods demonstrate the existence of a human stylome

MPS-Authors

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

External Resource

There are no locators available

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

フルテキスト (公開)

van Halteren_(2005)_new.pdf
(出版社版), 293KB

付随資料 (公開)

There is no public supplementary material available

引用

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.

引用: https://hdl.handle.net/11858/00-001M-0000-0013-1CB6-5

要旨

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.