Syntactic methods for topic-independent authorship attribution

The efficacy of syntactic features for topic-independent authorship attribution is evaluated, taking a feature set of frequencies of words and punctuation marks as baseline. The features are ‘deep’ in the sense that they are derived by parsing the subject texts, in contrast to ‘shallow’ syntactic fe...

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Vydané v:	Natural language engineering Ročník 23; číslo 5; s. 789 - 806
Hlavní autori:	BJÖRKLUND, JOHANNA, ZECHNER, NIKLAS
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cambridge, UK Cambridge University Press 01.09.2017
Predmet:	Artificial intelligence Attribution Authoring Authorship Classification Computational linguistics Computer generated language analysis Discriminant analysis Efficacy Experiments Linguistics Novels Parsing Plagiarism Principal components analysis Punctuation Speech Syntactic analysis Syntactic features Syntax Texts Topics Word frequency
ISSN:	1351-3249, 1469-8110, 1469-8110
On-line prístup:	Získať plný text
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