Learning Indexing Patterns from One Language for the Benefit of Others
نویسندگان
چکیده
Using language technology for text analysis and light-weight ontologies as a content-mediating level, we acquire indexing patterns from vast amounts of indexing data for Englishlanguage medical documents. This is achieved by statistically relating interlingual representations of these documents (based on text token bigrams) to their associated
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