We addressed the task to automatically recognize and normalize
entities in a French medical corpus. To increase the coverage of
our initial French terminology, English terms were translated into French
by two different automatic translators. Indexing with a terminology that
contained the intersection of the translated terms in combination with
several post-processing steps to reduce the number of false-positive detections,
gave the best performance results.