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» Learning a language model from continuous speech
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CSL
2002
Springer
14 years 9 months ago
Learning visually grounded words and syntax for a scene description task
A spoken language generation system has been developed that learns to describe objects in computer-generated visual scenes. The system is trained by a `show-and-tell' procedu...
Deb K. Roy
ALT
2010
Springer
14 years 11 months ago
Learning without Coding
Abstract. Iterative learning is a model of language learning from positive data, due to Wiehagen. When compared to a learner in Gold's original model of language learning from...
Samuel E. Moelius, Sandra Zilles
COLING
2008
14 years 11 months ago
Towards Incremental End-of-Utterance Detection in Dialogue Systems
We define the task of incremental or 0lag utterance segmentation, that is, the task of segmenting an ongoing speech recognition stream into utterance units, and present first resu...
Michaela Atterer, Timo Baumann, David Schlangen
ICML
2008
IEEE
15 years 10 months ago
Modified MMI/MPE: a direct evaluation of the margin in speech recognition
In this paper we show how common speech recognition training criteria such as the Minimum Phone Error criterion or the Maximum Mutual Information criterion can be extended to inco...
Georg Heigold, Hermann Ney, Ralf Schlüter, Th...
CORR
1998
Springer
153views Education» more  CORR 1998»
14 years 9 months ago
Identifying Discourse Markers in Spoken Dialog
In this paper, we present a method for identifying discourse marker usage in spontaneous speech based on machine learning. Discourse markers are denoted by special POS tags, and t...
Peter A. Heeman, Donna K. Byron, James F. Allen