Cross-lingual search over 22 european languages

ABSTRACT

In this paper we present a system for cross-lingual information retrieval, which can handle tens of languages and millions of documents. Functioning of the system is demonstrated on corpus of European Legislation (22 languages, more than 400,000 documents per language). The system uses an interactive web-interface, which can take advantage of a predefined thesaurus allowing the user to dynamically re-rank the retrieval results based on the mapping onto a predefined thesaurus.

REFERENCES

• 1: Steinberger, R., Pouliquen, B., Widiger, A., Ignat, C., Erjavec, T., Tufiş, D., Varga, D. 2006. The JRC-Acquis: A multilingual aligned parallel corpus with 20+ languages. Proceedings of the 5th International Conference on Language Resources and Evaluation (LREC'2006). Genoa, Italy, 24-26 May 2006.
• 2: Fortuna, B., Cristianini, N., Shawe-Taylor, J. 2006. A Kernel Canonical Correlation Analysis For Learning The Semantics Of Text. Kernel methods in bioengineering, communications and image processing, edited by G. Camps-Valls, J. L. Rojo-Álvarez & M. Martíínez-Ramón.
• 3: Pajntar, B., Grobelnik, M., http://searchpoint.ijs.si/

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Retrieval models

General Terms:
Experimentation, Human Factors, Performance

Keywords:
canonical correlation analysis, cross-lingual information retrieval, dynamic search ranking, search result visualization