Large-scale evaluation of a medical cross-language information retrieval system.
We propose an approach to multilingual medical document retrieval in which complex word forms are segmented according to medically relevant morpho-semantic criteria. At its core lies a multilingual dictionary, in which entries are equivalence classes of subwords, i.e. semantically minimal units. Using two different standard test collections for the medical domain, we evaluate our approach for six languages covered by our system.
Markó
Kornél
K
Medical Informatics Department, University Medical Center Freiburg, Germany. kornel.marko@uni-freiburg.de
Daumke
Philipp
P
Schulz
Stefan
S
Klar
Rüdiger
R
Hahn
Udo
U
D016247:Information Storage and Retrieval / Q000379:methods*; D019303:Multilingualism; D009323:Natural Language Processing; D012660:Semantics; D014175:Translating