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CLT seminar: Krister Lindén - Probabilistic Parallel Replace Rules

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In natural language processing, finite-state string transducer methods have been found useful for solving a number of practical problems ranging from language identification via morphological processing and generation to part-of-speech tagging and named-entity recognition, as long as the problems lend themselves to a formulation based on matching and transforming local context. In his talk, Krister Lindén will focus on probabilistic parallel replace rules and their applications using HFST–Helsinki Finite-State Technology.

Date: 2014-04-24 10:30 - 11:30

Location: K333, Lennart Torstenssonsgatan 6

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Page updated: 2014-04-24 11:11

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