OcrV1, Main, Exploration, bibRecord, 000D58

N-Grams and Morphological Normalization in Text Classification: A Comparison on a Croatian-English Parallel Corpus

Identifieur interne : 000D58 ( Main/Exploration ); précédent : 000D57; suivant : 000D59

N-Grams and Morphological Normalization in Text Classification: A Comparison on a Croatian-English Parallel Corpus

Auteurs : Artur Šili [Croatie] ; Jean-Hugues Chauchat [France] ; Bojana Dalbelo Baši [Croatie] ; Annie Morin [France]

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.

RBID : ISTEX:E6E28C59F7DED7FCC61B1B3D5A47E29371652FEB

Abstract

Abstract: In this paper we compare n-grams and morphological normalization, two inherently different text-preprocessing methods, used for text classification on a Croatian-English parallel corpus. Our approach to comparing different text preprocessing techniques is based on measuring computational performance (execution time and memory consumption), as well as classification performance. We show that although n-grams achieve classifier performance comparable to traditional word-based feature extraction and can act as a substitute for morphological normalization, they are computationally much more demanding.

Url:

https://api.istex.fr/document/E6E28C59F7DED7FCC61B1B3D5A47E29371652FEB/fulltext/pdf

DOI: 10.1007/978-3-540-77002-2_56

Affiliations:

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to stream Istex, to step Corpus: 001D02
to stream Istex, to step Curation: 001B82
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to stream Main, to step Curation: 000D58

Le document en format XML

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N-Grams and Morphological Normalization in Text Classification: A Comparison on a Croatian-English Parallel Corpus

N-Grams and Morphological Normalization in Text Classification: A Comparison on a Croatian-English Parallel Corpus

Source :

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri