English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  New machine learning methods demonstrate the existence of a human stylome

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.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-1CB6-5 Version Permalink: https://hdl.handle.net/21.11116/0000-0000-EADD-0
Genre: Journal Article

Files

show Files
hide Files
:
van Halteren_(2005)_new.pdf (Publisher version), 293KB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0000-EADE-F
Name:
van Halteren_(2005)_new.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
eDoc_access: USER
License:
-

Locators

show

Creators

show
hide
 Creators:
Van Halteren, Hans, Author
Baayen, R. Harald1, 2, Author
Tweedie, Fiona, Author
Haverkort, Marco, Author
Neijt, Anneke, Author
Affiliations:
1Pioneer, external, ou_55239              
2Other Research, MPI for Psycholinguistics, Max Planck Society, ou_55217              

Content

show
hide
Free keywords: -
 Abstract: 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.

Details

show
hide
Language(s):
 Dates: 2005
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 327692
DOI: 10.1080/09296170500055350
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Journal of Quantitative Linguistics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 12 (1) Sequence Number: - Start / End Page: 65 - 77 Identifier: -