This paper presents an approach for Multilingual Document Clustering in comparable
corpora. The algorithm is of heuristic nature and it uses as unique evidence for clustering the …

This paper presents an approach for Multilingual News Document Clustering in comparable
corpora. We have implemented two algorithms of heuristic nature that follow the approach …

Abstract Cross Language Information Retrieval community has brought up search engines
over multilingual corpora, and multilingual text categorization systems. In this paper, we …

It is often necessary to categorize automatically multilingual document sets, in which
documents written in a variety of languages are included, into topically homogeneous …

This paper is focused on discovering bilingual news clusters in a comparable corpus.
Particularly, we deal with the news representation and with the calculation of the similarity …

In this paper we evaluate the influence of different document representations in the results of
multilingual news clustering. We aim at proving whether or not the use of only named …

This paper focuses on the task of bilingual clustering, which involves dividing a set of
documents from two different languages into a set of thematically homogeneous groups. It …

In a series of articles published largely in the computational linguistics literature, this chapter
outlines a number of computational techniques for clustering documents in a multilingual …

208 J. Silva, J. Mexia, CA Coelho, G. Lopes that might influence the behaviour of our
methodology and might bias the unsupervised clustering method proposed. Since we want …

This paper describes a statistics-based approach for clustering documents and for extracting
cluster topics. Relevant Expressions (REs) are extracted from corpora and used as …