Supporting Multilingual Information Retrieval in Web Applications: An English-Chinese Web Portal Experiment

Abstract

Abstract. Cross-language information retrieval (CLIR) and multilingual information retrieval (MLIR) techniques have been widely studied, but they are not often applied to and evaluated for Web applications. In this paper, we present our research in developing and evaluating a multilingual English-Chinese Web portal in the business domain. A dictionary-based approach has been adopted that combines phrasal translation, co-occurrence analysis, and pre-and post-translation query expansion. The approach was evaluated by domain experts and the results showed that co-occurrence-based phrasal translation achieved a 74.6% improvement in precision when compared with simple word-by-word translation.

A Review on the Cross and Multilingual Information Retrieval

“…This model, called semantic graph, is an extension of the Sowa's model of conceptual graphs where different vocabularies' are available. [22] Developed and evaluated a multilingual English-Chinese Web portal in the business domain. A dictionary-based approach has been adopted that combines phrasal translation, co-occurrence analysis, and pre-and post-translation query expansion.…”