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» Relevance language modeling for speech recognition
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CORR
1998
Springer
153views Education» more  CORR 1998»
15 years 1 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
ICASSP
2008
IEEE
15 years 8 months ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...
ICMI
2005
Springer
193views Biometrics» more  ICMI 2005»
15 years 7 months ago
Augmenting conversational dialogue by means of latent semantic googling
This paper presents Latent Semantic Googling, a variant of Landauer’s Latent Semantic Indexing that uses the Google search engine to judge the semantic closeness of sets of word...
Robin Senior, Roel Vertegaal
ACL
2009
14 years 11 months ago
A Stochastic Finite-State Morphological Parser for Turkish
This paper presents the first stochastic finite-state morphological parser for Turkish. The non-probabilistic parser is a standard finite-state transducer implementation of two-le...
Hasim Sak, Tunga Güngör, Murat Saraclar
CICLING
2004
Springer
15 years 6 months ago
Experiments on the Construction of a Phonetically Balanced Corpus from the Web
The construction of a speech recognition system requires a recorded set of phrases to compute the pertinent acoustic models. This set of phrases must be phonetically rich and balan...
Luis Villaseñor Pineda, Manuel Montes-y-G&o...