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Automatic Speech Recognition With Very Large Conversational Finnish and Estonian Vocabularies.

, , , and . IEEE ACM Trans. Audio Speech Lang. Process., 25 (11): 2085-2097 (2017)

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Language Identification of Short Text Segments with N-gram Models., , and . LREC, European Language Resources Association, (2010)First-Pass Techniques for Very Large Vocabulary Speech Recognition ff Morphologically Rich Languages., , and . SLT, page 227-234. IEEE, (2018)Morphologically motivated word classes for very large vocabulary speech recognition of Finnish and Estonian., , and . Comput. Speech Lang., (2021)Applying Morphological Decompositions to Statistical Machine Translation., , , and . WMT@ACL, page 195-200. Association for Computational Linguistics, (2010)Morpho Challenge 2005-2010: Evaluations and Results., , , and . SIGMORPHON, page 87-95. Association for Computational Linguistics, (2010)Character-based units for unlimited vocabulary continuous speech recognition., , , , and . ASRU, page 149-156. IEEE, (2017)Learning a subword vocabulary based on unigram likelihood., , and . ASRU, page 7-12. IEEE, (2013)Morphology-Aware Statistical Machine Translation Based on Morphs Induced in an Unsupervised Manner, , , and . Proceedings of Machine Translation Summit XI, page 391--498. Copenhagen, Denmark, (2007)Adaptive Translation: Finding Interlingual Mappings using Self-Organizing Maps, , and . Proceedings of the 18th International Conference on Artificial Neural Networks (ICANN 2008), page 603--612. Prague, Czech Republic, (2008)Compact n-gram models by incremental growing and clustering of histories., and . INTERSPEECH, ISCA, (2006)