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» Introducing Speech and Language Processing
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ACL
2010
13 years 6 months ago
A Framework for Figurative Language Detection Based on Sense Differentiation
Various text mining algorithms require the process of feature selection. High-level semantically rich features, such as figurative language uses, speech errors etc., are very prom...
Daria Bogdanova
EMNLP
2008
13 years 10 months ago
Revealing the Structure of Medical Dictations with Conditional Random Fields
Automatic processing of medical dictations poses a significant challenge. We approach the problem by introducing a statistical framework capable of identifying types and boundarie...
Jeremy Jancsary, Johannes Matiasek, Harald Trost
CSL
2002
Springer
13 years 8 months ago
Transformation streams and the HMM error model
The most popular model used in automatic speech recognition is the hidden Markov model (HMM). Though good performance has been obtained with such models there are well known limit...
M. J. F. Gales
INTERSPEECH
2010
13 years 3 months ago
Rapid development of speech translation using consecutive interpretation
The development of a speech translation (ST) system is costly, largely because it is expensive to collect parallel data. A new language pair is typically only considered in the af...
Matthias Paulik, Alex Waibel
LREC
2010
198views Education» more  LREC 2010»
13 years 10 months ago
The Cambridge Cookie-Theft Corpus: A Corpus of Directed and Spontaneous Speech of Brain-Damaged Patients and Healthy Individuals
Investigating differences in linguistic usage between individuals who have suffered brain injury (hereafter patients) and those who haven't can yield a number of benefits. It...
Caroline Williams, Andrew Thwaites, Paula Buttery,...