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Filtering artificial texts with statistical machine learning techniques.

Fake content is flourishing on the Internet, ranging from basic random word salads to web scraping. Most of this fake content is generated for the purpose of nourishing fake web sites aimed at biasing search engine indexes: at the scale of a search engine, using automatically generated texts render...

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Published in:Language Resources & Evaluation Vol. 45; no. 1; pp. 25 - 44
Main Authors: Lavergne, Thomas, Urvoy, Tanguy, Yvon, François
Format: Article
Published: Springer Nature Feb2011
Subjects:
Artificial languages
Machine learning
Polyglot texts, selections, quotations, etc.
Spam filtering (Email)
Markov processes
Algorithms
Search engines
Online Access:View this record in EBSCOhost