Language morphology offset: Text classification on a Croatian–English parallel corpus

• Published in: Information processing & management Vol. 44; no. 1; pp. 325 - 339
• Main Authors: Malenica, M., Šmuc, T., Šnajder, J., Dalbelo Bašić, B.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 2008; Elsevier; Elsevier Science Ltd
• Subjects: Classification; Comparative analysis; Computerized information retrieval; Content analysis; Croatian; English; Exact sciences and technology; Feature selection; Indexing. Classification. Abstracting; Indexing. Classification. Abstracting. Syntheses; Information and communication sciences; Information and document structure and analysis; Information processing; Information processing and retrieval; Information science. Documentation; Language; Languages; Lemmatization; Morphological normalisation; Morphology; Sciences and techniques of general use; Stemming; Studies; Support vector machines; SVM; Text categorization; Text classification; English; Feature selection; Morphological normalisation; Lemmatization; SVM; Text classification; Croatian; Stemming; Automatic classification; Text; Support vector machine; Morphological analysis; Corpus analysis

We investigate how, and to what extent, morphological complexity of the language influences text classification using support vector machines (SVM). The Croatian–English parallel corpus provides the basis for direct comparison of two languages of radically different morphological complexity. We quan...