Automatically determining an anonymous author's native language

Moshe Koppel; Jonathan Schler; Kfir Zigdon

doi:10.1007/11427995_17

Automatically determining an anonymous author's native language

Moshe Koppel, Jonathan Schler, Kfir Zigdon

Department of Computer Science

Bar-Ilan University

Research output: Contribution to journal › Conference article › peer-review

57 Scopus citations

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	English
Pages (from-to)	209-217
Number of pages	9
Journal	Lecture Notes in Computer Science
Volume	3495
DOIs	https://doi.org/10.1007/11427995_17
State	Published - 2005
Event	IEEE International Conference on Intelligence and Security Informatics, ISI 2005 - Atlanta, GA, United States Duration: 19 May 2005 → 20 May 2005

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10.1007/11427995_17

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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 = "Moshe Koppel and Jonathan Schler and Kfir Zigdon",

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T2 - IEEE International Conference on Intelligence and Security Informatics, ISI 2005

Y2 - 19 May 2005 through 20 May 2005

ER -

Automatically determining an anonymous author's native language

Abstract

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