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May the force be with you: Force-aligned signwriting for automatic subunit annotation of corpora.

, , and . FG, page 1-6. IEEE Computer Society, (2013)

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Towards a Better Understanding of Label Smoothing in Neural Machine Translation., , , , and . AACL/IJCNLP, page 212-223. Association for Computational Linguistics, (2020)Evaluation of quantile based histogram equalization with filter combination on the Aurora 3 and 4 databases., and . INTERSPEECH, page 341-344. ISCA, (2003)The statistical approach to machine translation and a roadmap for speech translation.. INTERSPEECH, page 361-364. ISCA, (2003)Investigations on joint-multigram models for grapheme-to-phoneme conversion., and . INTERSPEECH, page 105-108. ISCA, (2002)State tying for context dependent phoneme models., , and . EUROSPEECH, page 1179-1182. ISCA, (1997)Connected digit recognition using statistical template matching., , , and . EUROSPEECH, page 1483-1486. ISCA, (1995)A look-ahead search technique for large vocabulary continuous speech recognition., and . EUROSPEECH, page 495-498. ISCA, (1991)Estimating 'small' probabilities by leaving-one-out., and . EUROSPEECH, page 2239-2242. ISCA, (1993)Alignment-Based Neural Machine Translation., , , , , and . WMT, page 54-65. The Association for Computer Linguistics, (2016)Word Error Rates: Decomposition over POS classes and Applications for Error Analysis., and . WMT@ACL, page 48-55. Association for Computational Linguistics, (2007)