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Morphologically motivated word classes for very large vocabulary speech recognition of Finnish and Estonian.

, , and . Comput. Speech Lang., (2021)

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Comparison of subspace methods for Gaussian mixture models in speech recognition., and . INTERSPEECH, page 2121-2124. ISCA, (2007)A Toolkit for Efficient Learning of Lexical Units for Speech Recognition., and . LREC, page 3072-3075. European Language Resources Association (ELRA), (2014)Overview of Morpho Challenge 2008., , and . CLEF, volume 5706 of Lecture Notes in Computer Science, page 951-966. Springer, (2008)Class n-Gram Models for Very Large Vocabulary Speech Recognition of Finnish and Estonian., , and . SLSP, volume 9918 of Lecture Notes in Computer Science, page 133-144. (2016)A word-level token-passing decoder for subword n-gram LVCSR., and . SLT, page 495-500. IEEE, (2014)First-Pass Techniques for Very Large Vocabulary Speech Recognition ff Morphologically Rich Languages., , and . SLT, page 227-234. IEEE, (2018)Morpho Challenge Evaluation Using a Linguistic Gold Standard., , and . CLEF, volume 5152 of Lecture Notes in Computer Science, page 864-872. Springer, (2007)Morphologically motivated word classes for very large vocabulary speech recognition of Finnish and Estonian., , and . Comput. Speech Lang., (2021)Unsupervised Morpheme Analysis Evaluation by a Comparison to a Linguistic Gold Standard - Morpho Challenge 2007., , and . CLEF (Working Notes), volume 1173 of CEUR Workshop Proceedings, CEUR-WS.org, (2007)Unsupervised morph segmentation and statistical language models for vocabulary expansion., and . ACL (2), The Association for Computer Linguistics, (2016)