Experiments with query translation and re-ranking methods in Vietnamese-English bilingual information retrieval

Abstract

Using bilingual dictionaries is a common way for query translation in Cross Language Information Retrieval. In this article, we focus on Vietnamese-English Bilingual Information Retrieval and present algorithms for query segmentation, word disambiguation and re-ranking to improve the dictionary-based query translation approach. An evaluation environment is implemented to verify and compare the application of proposed algorithms with the baseline method using manual translation.

English-Hindi Cross Language Information Retrieval System: Query Perspective

“…Zhou et al (2007) viewed the co-occurrence of possible translation terms within a given corpus as a graph and determines the importance of a translation using global information recursively drawn from the entire graph. Giang et al (2013) used mutual summary score based on word distribution in document collection to outperform basic model. Duque et al (2015) Technique combines both the dictionary and co-occurrence graph to select the most suitable translation from the dictionary.…”