An Unsupervised Method for Weighting Finite-state Morphological Analyzers
Published in
International Conference on Language Resources ...(2020)External Links:
TL
TL;DR
A method for weighting a morphological analyzer built using finite state transducers in order to disambiguate its results using a word2vec model that is trained in a completely unsupervised way using raw untagged corpora and is able to capture the semantic meaning of the words.