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Cross-lingual genre classification

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Philipp PetrenzAuthors Info & Claims

EACL '12: Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics

Pages 11 - 21

Published: 26 April 2012 Publication History

Abstract

Classifying text genres across languages can bring the benefits of genre classification to the target language without the costs of manual annotation. This article introduces the first approach to this task, which exploits text features that can be considered stable genre predictors across languages. My experiments show this method to perform equally well or better than full text translation combined with monolingual classification, while requiring fewer resources.

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Cited By

Roberts KHarabagiu SCruz IKnoblock CKröger PTanin EWidmayer P(2012)Locational relativity and domain constraints in spatial questionsProceedings of the 20th International Conference on Advances in Geographic Information Systems10.1145/2424321.2424350(219-228)Online publication date: 6-Nov-2012
https://dl.acm.org/doi/10.1145/2424321.2424350

Cross-lingual genre classification
1. Computing methodologies
  1. Artificial intelligence
2. Hardware
  1. Power and energy
    1. Power estimation and optimization

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EACL '12: Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics

April 2012

99 pages

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 26 April 2012

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Cited By

Roberts KHarabagiu SCruz IKnoblock CKröger PTanin EWidmayer P(2012)Locational relativity and domain constraints in spatial questionsProceedings of the 20th International Conference on Advances in Geographic Information Systems10.1145/2424321.2424350(219-228)Online publication date: 6-Nov-2012
https://dl.acm.org/doi/10.1145/2424321.2424350

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