Papers by Tommi Pirinen

1 papers
An Unsupervised Method for Weighting Finite-state Morphological Analyzers (2020.lrec-1)

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Challenge: Morphological analysis is one of the tasks that have been studied for years.
Approach: They propose a method for weighting a morphological analyzer built using finite state transducers in order to disambiguate its results.
Outcome: The proposed model weights a word2vec model using untagged corpora and captures the semantic meaning of the words.

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