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» Content-based language models for spoken document retrieval
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SIGIR
2004
ACM
15 years 5 months ago
User biased document language modelling
Capitalizing on the intuitive underlying assumptions of Language Modelling for Ad-Hoc Retrieval we present a novel approach that is capable of injecting the user’s context of th...
Leif Azzopardi, Mark Girolami, Cornelis Joost van ...
84
Voted
EMNLP
2010
14 years 9 months ago
NLP on Spoken Documents Without ASR
There is considerable interest in interdisciplinary combinations of automatic speech recognition (ASR), machine learning, natural language processing, text classification and info...
Mark Dredze, Aren Jansen, Glen Coppersmith, Ken Wa...
95
Voted
ANLP
1994
113views more  ANLP 1994»
15 years 29 days ago
Real-Time Spoken Language Translation Using Associative Processors
This paper proposes a model using associative processors (APs) for real-time spoken language translation. Spoken language translation requires (1) an accurate translation and (2) ...
Kozo Oi, Eiichiro Sumita, Osamu Furuse, Hitoshi Ii...
ICASSP
2011
IEEE
14 years 3 months ago
Integrating frame-based and segment-based dynamic time warping for unsupervised spoken term detection with spoken queries
Rapidly increasing quantities of multimedia and spoken content today demand fast and accurate retrieval approaches for convenient browsing. The spoken documents with wide variety ...
Chun-an Chan, Lin-Shan Lee
ACL
2009
14 years 9 months ago
Summarizing multiple spoken documents: finding evidence from untranscribed audio
This paper presents a model for summarizing multiple untranscribed spoken documents. Without assuming the availability of transcripts, the model modifies a recently proposed unsup...
Xiaodan Zhu, Gerald Penn, Frank Rudzicz