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Finite-State Text Processing

, and . Synthesis Lectures on Human Language Technologies Morgan & Claypool Publishers, (2021)

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Minimally Supervised Number Normalization., and . Trans. Assoc. Comput. Linguistics, (2016)Discriminative pronunciation modeling for dialectal speech recognition., , and . INTERSPEECH, page 1458-1462. ISCA, (2014)NeMo Inverse Text Normalization: From Development to Production., , , and . Interspeech, page 4468-4472. ISCA, (2021)Group-matching algorithms for subjects and items., , and . CoRR, (2021)UniMorph 3.0: Universal Morphology., , , , , , , , , and 12 other author(s). LREC, page 3922-3931. European Language Resources Association, (2020)Improving homograph disambiguation with supervised machine learning., , and . LREC, European Language Resources Association (ELRA), (2018)Automated morphological analysis of clinical language samples., , , , , , , and . CLPsych@HLT-NAACL, page 108-116. The Association for Computational Linguistics, (2015)Quantifying the Hyperparameter Sensitivity of Neural Networks for Character-level Sequence-to-Sequence Tasks., , and . EACL (1), page 674-689. Association for Computational Linguistics, (2024)Neural Models of Text Normalization for Speech Applications., , , , , , and . Comput. Linguistics, 45 (2): 293-337 (2019)Unified Verbalization for Speech Recognition & Synthesis Across Languages., , , , , , , , , and . INTERSPEECH, page 3530-3534. ISCA, (2019)