Cross-Lingual Text Categorization

Spanish/English Cross-Lingual Categorization

This article deals with the problem of Cross-Lingual Text Categorization (CLTC), which arises when documents in different languages must be classified according to the same classification tree. We describe practical and cost-effective solutions for automatic Cross-Lingual Text Categorization, both in case a sufficient number of training examples is available for each new language and in the cas...

Text categorization on a multi-lingual corpus

This paper presents experiments with a hierarchical text categorizer on a multi-lingual (English, French) corpus. The results obtained are very similar for both languages. The results allow us to apply in the near future cross-language text categorization that can be used to support automatic translation to create multi-lingual topic glossary.

Automatic Generation of Language-Independent Features for Cross-Lingual Classification

Many applications require categorization of text documents using predefined categories. The main approach to performing text categorization is learning from labeled examples. For many tasks, it may be difficult to find examples in one language but easy in others. The problem of learning from examples in one or more languages and classifying (categorizing) in another is called cross-lingual lear...

Cross-lingual and generic text categorization (Apprentissage d'une classification thématique générique et cross-langue à partir des catégories de la Wikipédia) [in French]

Cost-effective Cross-lingual Document Classification

This article addresses the question of how to deal with text categorization when the set of documents to be classified belong to different languages. The figures we provide demonstrate that cross-lingual classification where a classifier is trained using one language and tested against another is possible and feasible provided we translate a small number of words: the most relevant terms for cl...