A Greek-English Cross Language Medical Information Retrieval System
Jan 1, 2008·
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Kotsonis Vaggelis
Anestis Gkanogiannis
Kalamboukis Theodore
Eliakis Stelios
Abstract
Health information systems on the web basically support the English language. To access high-quality online health information it is frequently a barrier for non-English speakers or speakers of English as a foreign language. In this work we present a cross-language retrieval system to support Greek users in the medical domain, overcome the language barrier. We have performed a case study on the impact of stemming in the cross lingual retrieval in association with dictionary based query translation techniques. Finally, we conclude with results from a preliminary evaluation of the Greek-English CLIR prototype.
Type
Publication
In Conference on Medical Imaging and Informatics, MIMI 2007
Authors
Senior AI/ML and genomics practitioner
Senior AI/ML and genomics practitioner with ~15 years building open-source, production-grade tools for large-scale biological data. Maintainer of multiple Bioconductor packages (fastreeR, metabinR, jvecfor), and author of agentic, LLM-driven tooling that runs reproducible bioinformatics workflows from natural-language requests.
Broad multi-omics background spanning genome assembly and annotation, population genomics, large-scale NGS and functional-genomics analysis, and metagenomics, backed by reproducible HPC software and end-to-end program leadership. Currently focused on bringing modern AI — embeddings, deep learning, and LLM-based agents — to making complex omics datasets faster and easier to interrogate.