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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Cross-Language High Similarity Search Using a Conceptual Thesaurus
verfasst von : Parth Gupta, Alberto Barrón-Cedeño, Paolo Rosso
Erschienen in: Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics
Verlag: Springer Berlin Heidelberg
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This work addresses the issue of cross-language high similarity and near-duplicates search, where, for the given document, a highly similar one is to be identified from a large cross-language collection of documents. We propose a concept-based similarity model for the problem which is very light in computation and memory. We evaluate the model on three corpora of different nature and two language pairs English-German and English-Spanish using the Eurovoc conceptual thesaurus. Our model is compared with two state-of-the-art models and we find, though the proposed model is very generic, it produces competitive results and is significantly stable and consistent across the corpora.