Weighted finite-state methods as a bridge between strictly rule-based and mostly statistical nlp systems
As some of you may know, University of Helsinki is mostly known from its strictly rule-based approach to computational linguistics, with main contributions like TWOL system by Prof. Koskenniemi in 1983 and CG system by Prof. Karlsson 1995. In my doctoral dissertation I experimented with some basic approaches of combining statistical information to weighted finite-state models (cf. Openfst <http://www.openfst.org/> and Mohri’s academic papers) of language, esp. for morphologically complex languages with limited resources (e.g. Greenlandic).
The presentation will consist of some slides from my FSMNLP 2012 tutorial <http://www.helsinki.fi/~tapirine/publications/fsmnlp-2012-spelling-tutorial.pdf> and parts of my lectio praecursoria for my phd <http://www.helsinki.fi/~tapirine/publications/Pirinen-2014-dissertation.pdf>.
Time: 14.00, Thursday March 13th
Venue: L221 (School of Computing)