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Scalable Wide and Deep Learning for Computer Assisted Coding.

, , , , , , , and . NAACL-HLT (3), page 1-7. Association for Computational Linguistics, (2018)

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Morphological decomposition in Arabic ASR systems., , , and . Comput. Speech Lang., 26 (4): 229-243 (2012)Crosslingual adaptation of semi-continuous HMMS using maximum likelihood and maximum a posteriori convex regression., , and . EUSIPCO, page 1-5. IEEE, (2006)Constraint Induction of Phonetic-Acoustic Decision Trees for Crosslingual Acoustic Modelling., , and . ICASSP (4), page 761-764. IEEE, (2007)Recent improvements to the Cambridge Arabic Speech-to-Text systems., , , , and . ICASSP, page 4382-4385. IEEE, (2010)Large Scale Sequence-to-Sequence Models for Clinical Note Generation from Patient-Doctor Conversations., , , , , , and . ClinicalNLP@ACL, page 138-143. Association for Computational Linguistics, (2023)Graphone Model Interpolation and Arabic Pronunciation Generation., , , and . INTERSPEECH, page 2309-2312. ISCA, (2011)Continuous local codebook features for multi- and cross-lingual acoustic phonetic modelling., , and . INTERSPEECH, page 3005-3008. ISCA, (2005)Development of a phonetic system for large vocabulary Arabic speech recognition., , , , , and . ASRU, page 24-29. IEEE, (2007)Phonetic pronunciations for arabic speech-to-text systems., , , and . ICASSP, page 1573-1576. IEEE, (2008)Morphological analysis and decomposition for Arabic speech-to-text systems., , , and . INTERSPEECH, page 2675-2678. ISCA, (2009)