Two Stages Refinement of Query Translation for Pivot Language Approach to Cross Lingual Information Retrieval: A Trial at CLEF 2003

Two-Stage Refinement of Transitive Query Translation with English Disambiguation for Cross-Language Information Retrieval: A Trial at CLEF 2004

This paper reports experimental results of cross-language information retrieval (CLIR) from German to French. The authors are concerned with CLIR in cases where available language resources are very limited. Thus transitive translation of queries using English as a pivot language was used to search French document collections for German queries without any direct bilingual dictionary or MT syst...

A Hybrid Approach to Query and Document Translation Using a Pivot Language for Cross-Language Information Retrieval

Query Translation from Indonesian to Japanese Using English as Pivot Language

In this paper, we propose a query translation method for Cross Lingual Information Retrieval (CLIR) system which works for Japanese (target language) documents with Indonesian (source language) queries. Because Indonesian-Japanese is an unfamiliar language pair, it is difficult to translate Indonesian queries to Japanese directly. Therefore, we use English as a pivot language for transitive tra...

Hybrid Approach of Query and Document Translation with Pivot Language for Cross-Language Information Retrieval

This paper reports experimental results of cross-language information retrieval (CLIR) from German to French, in which a hybrid approach of query and document translation was attempted, i.e, combining results of query translation (German to French) and of document translation (French to German). In order to avoid too high complexity of computation for translating a large amount of texts in docu...

Adapting SMT Query Translation Reranker to New Languages in Cross-Lingual Information Retrieval

We investigate adaptation of a supervised machine learning model for reranking of query translations to new languages in the context of cross-lingual information retrieval. The model is trained to rerank multiple translations produced by a statistical machine translation system and optimize retrieval quality. The model features do not depend on the source language and thus allow the model to be...