SODA

Vector-based semantic analysis using random indexing for cross-lingual query expansion

Sahlgren, Magnus and Karlgren, Jussi (2001) Vector-based semantic analysis using random indexing for cross-lingual query expansion. In: Revised papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems, CLEF 2001, 3-4 Sept 2001, Darmstadt, Germany.

Full text not available from this repository.

Abstract

Random Indexing is a vector-based technique for extracting semantically similar words from the co-occurrence statistics of words in large text data. We have applied the technique on aligned bilingual corpora, producing French-English and Swedish-English thesauri that we have used for cross-lingual query expansion. In this paper, we report on our CLEF 2001 experiments on French-to-English and Swedish-to-English query expansion.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Lecture Notes In Computer Science; Vol. 2406. ISBN:3-540-44042-9.
ID Code:3096
Deposited By:INVALID USER
Deposited On:16 Jul 2008
Last Modified:18 Nov 2009 16:17

Repository Staff Only: item control page