A Survey of Multilingual Text Retrieval

Survey: Multilingual Text Retrieval and Access

A multilingual text mining approach to web cross-lingual text retrieval

To enable concept-based cross-lingual text retrieval (CLTR) using multilingual text mining, our approach will first discover the multilingual concept–term relationships from linguistically diverse textual data relevant to a domain. Second, the multilingual concept–term relationships, in turn, are used to discover the conceptual content of the multilingual text, which is either a document contai...

A method for multilingual text mining and retrieval using growing hierarchical self-organizing maps

With the increasing amount of multilingual texts in the Internet, multilingual text retrieval techniques have become an important research issue. However, the discovery of relationships between different languages remains an open problem. In this paper we propose a method, which applied the growing hierarchical self-organizing map (GHSOM) model, to discover knowledge from multilingual text docu...

Discovering Parallel Text from the World Wide Web

Parallel corpus is a rich linguistic resource for various multilingual text management tasks, including crosslingual text retrieval, multilingual computational linguistics and multilingual text mining. Constructing a parallel corpus requires effective alignment of parallel documents. In this paper, we develop a parallel page identification system for identifying and aligning parallel documents ...

Mining bilingual topic hierarchies from unaligned text

Recent years have seen an exponential growth in the amount of multilingual text available on the web. This situation raises the need for novel applications for organizing and accessing multilingual content. Common examples of such applications include Multilingual Topic Tracking, Cross-Language Information retrieval systems etc. Most of these applications rely on the availability of multilingua...