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Finite-State Acoustic and Translation Model Composition in Statistical Speech Translation: Empirical Assessment.

, , and . FSMNLP, page 99-107. The Association for Computer Linguistics, (2012)

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Speech Translation with Phrase Based Stochastic Finite-State Transducers., , and . ICASSP (4), page 113-116. IEEE, (2007)Multi-label clinical document classification: Impact of label-density., , , and . Expert Syst. Appl., (2019)Learning to extract adverse drug reaction events from electronic health records in Spanish., , , , and . Expert Syst. Appl., (2016)Cause of Death estimation from Verbal Autopsies: Is the Open Response redundant or synergistic?, , , , and . Artif. Intell. Medicine, (September 2023)Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish., , , , and . J. Biomed. Informatics, (2022)Neural negated entity recognition in Spanish electronic health records., , , and . J. Biomed. Informatics, (2020)Impact of the Approaches Involved on Word-Graph Derivation from the ASR System., , and . IbPRIA, volume 6669 of Lecture Notes in Computer Science, page 668-675. Springer, (2011)Speech-Input Multi-Target Machine Translation., , , and . WMT@ACL, page 56-63. Association for Computational Linguistics, (2007)Potential scope of a fully-integrated architecture for speech translation., , and . EAMT, European Association for Machine Translation, (2010)Clinical text mining for efficient extraction of drug-allergy reactions., , , and . BIBM, page 946-952. IEEE Computer Society, (2016)