Automatically Determining an Anonymous Author's Native Language

M. Koppel; Jonathan Schler; Kfir Zigdon

Automatically Determining an Anonymous Author's Native Language

M. Koppel, Jonathan Schler, Kfir Zigdon

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Text authored by an unidentified assailant can offer valuable clues to the assailant's identity. In this paper, we show that stylistic text features can be exploited to determine an anonymous author's native language with high accuracy.

Original language	American English
Title of host publication	Intelligence and Security Informatics
Editors	Paul Kantor, Gheorghe Muresan, Fred Roberts, Daniel D. Zeng, Fei-Yue Wang, Hsinchun Chen, Ralph C. Merkle
Publisher	Springer Berlin Heidelberg
Pages	209-217
ISBN (Print)	978-3-540-32063-0
State	Published - 2005

Publication series

Name	Lecture Notes in Computer Science
Volume	3495

Cite this

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title = "Automatically Determining an Anonymous Author's Native Language",

abstract = "Text authored by an unidentified assailant can offer valuable clues to the assailant's identity. In this paper, we show that stylistic text features can be exploited to determine an anonymous author's native language with high accuracy.",

author = "M. Koppel and Jonathan Schler and Kfir Zigdon",

year = "2005",

language = "American English",

isbn = "978-3-540-32063-0",

series = "Lecture Notes in Computer Science",

publisher = "Springer Berlin Heidelberg",

pages = "209--217",

editor = "Paul Kantor and Gheorghe Muresan and Fred Roberts and {D. Zeng}, Daniel and Fei-Yue Wang and Hsinchun Chen and {C. Merkle}, Ralph",

booktitle = "Intelligence and Security Informatics",

}

Automatically Determining an Anonymous Author's Native Language. / Koppel, M.; Schler, Jonathan; Zigdon, Kfir.
Intelligence and Security Informatics. ed. / Paul Kantor; Gheorghe Muresan; Fred Roberts; Daniel D. Zeng; Fei-Yue Wang; Hsinchun Chen; Ralph C. Merkle. Springer Berlin Heidelberg, 2005. p. 209-217 (Lecture Notes in Computer Science; Vol. 3495).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Automatically Determining an Anonymous Author's Native Language

AU - Koppel, M.

AU - Schler, Jonathan

AU - Zigdon, Kfir

PY - 2005

Y1 - 2005

N2 - Text authored by an unidentified assailant can offer valuable clues to the assailant's identity. In this paper, we show that stylistic text features can be exploited to determine an anonymous author's native language with high accuracy.

AB - Text authored by an unidentified assailant can offer valuable clues to the assailant's identity. In this paper, we show that stylistic text features can be exploited to determine an anonymous author's native language with high accuracy.

M3 - Chapter

SN - 978-3-540-32063-0

T3 - Lecture Notes in Computer Science

SP - 209

EP - 217

BT - Intelligence and Security Informatics

A2 - Kantor, Paul

A2 - Muresan, Gheorghe

A2 - Roberts, Fred

A2 - D. Zeng, Daniel

A2 - Wang, Fei-Yue

A2 - Chen, Hsinchun

A2 - C. Merkle, Ralph

PB - Springer Berlin Heidelberg

ER -

Automatically Determining an Anonymous Author's Native Language

Abstract

Publication series

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