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Evaluating semantic indexing techniques through cross-language fingerprinting
2005
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '05
Users in search of on-line document sources are usually looking for content, not words. Hence, IR researchers generally agree that search techniques should be geared toward the meaning underlying documents rather than toward the text itself. The most visible examples of such techniques are Latent Semantic Analysis (LSA), and the Hyperspace Analog to Language (HAL). If these techniques really uncover semantic dependencies, then they should be applicable across languages. We investigated this
doi:10.1145/1076034.1076152
dblp:conf/sigir/HoenkampD05
fatcat:rqbtqn7kcrfnpl5frxa27r7kmm