Language Model Adaptation for Medical Dictations by Automatic Phonetics-Driven Transcript Reconstruction

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Language	English
Title of host publication	Proceedings of the IASTED International Conference on Artificial Intelligence - Machine Learning
Publisher	Acta Press
Pages	194-199
ISBN (Print)	978-0-88986-709-3
Status	Published - 2008
Event	IASTED International Conference on Artificial Intelligence and Applications - Innsbruck, Austria Duration: 11 Feb 2008 → 13 Feb 2008

Conference	IASTED International Conference on Artificial Intelligence and Applications
Country	Austria
City	Innsbruck
Period	11/02/08 → 13/02/08

Petrik, S., & Pernkopf, F. (2008). Language Model Adaptation for Medical Dictations by Automatic Phonetics-Driven Transcript Reconstruction. In Proceedings of the IASTED International Conference on Artificial Intelligence - Machine Learning (pp. 194-199). Acta Press.

Proceedings of the IASTED International Conference on Artificial Intelligence - Machine Learning. Acta Press, 2008. p. 194-199.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Petrik, S & Pernkopf, F 2008, Language Model Adaptation for Medical Dictations by Automatic Phonetics-Driven Transcript Reconstruction. in Proceedings of the IASTED International Conference on Artificial Intelligence - Machine Learning. Acta Press, pp. 194-199, IASTED International Conference on Artificial Intelligence and Applications, Innsbruck, Austria, 11/02/08.

Petrik S, Pernkopf F. Language Model Adaptation for Medical Dictations by Automatic Phonetics-Driven Transcript Reconstruction. In Proceedings of the IASTED International Conference on Artificial Intelligence - Machine Learning. Acta Press. 2008. p. 194-199

Petrik, Stefan ; Pernkopf, Franz. / Language Model Adaptation for Medical Dictations by Automatic Phonetics-Driven Transcript Reconstruction. Proceedings of the IASTED International Conference on Artificial Intelligence - Machine Learning. Acta Press, 2008. pp. 194-199

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