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LREC
2010
184views Education» more  LREC 2010»
13 years 9 months ago
New Features in Spoken Language Search Hawk (SpLaSH): Query Language and Query Sequence
In this work we present further development of the SpLaSH (Spoken Language Search Hawk) project. SpLaSH implements a data model for annotated speech corpora integrated with textua...
Sara Romano, Francesco Cutugno
LREC
2008
138views Education» more  LREC 2008»
13 years 9 months ago
MISTRAL: a Statistical Machine Translation Decoder for Speech Recognition Lattices
This paper presents MISTRAL, an open source statistical machine translation decoder dedicated to spoken language translation. While typical machine translation systems take a writ...
Alexandre Patry, Philippe Langlais
ACL
2006
13 years 8 months ago
Exploiting Non-Local Features for Spoken Language Understanding
In this paper, we exploit non-local features as an estimate of long-distance dependencies to improve performance on the statistical spoken language understanding (SLU) problem. Th...
Minwoo Jeong, Gary Geunbae Lee
ACL
2001
13 years 8 months ago
Multi-Class Composite N-gram Language Model for Spoken Language Processing Using Multiple Word Clusters
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
Hirofumi Yamamoto, Shuntaro Isogai, Yoshinori Sagi...
ICASSP
2008
IEEE
14 years 1 months ago
Accurate statistical spoken language understanding from limited development resources
Robust Spoken Language Understanding (SLU) is a key component of spoken dialogue systems. Recent statistical approaches to this problem require additional resources (e.g. gazettee...
I. V. Meza-Ruiz, Sebastian Riedel, Oliver Lemon