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CORR
2004
Springer
128views Education» more  CORR 2004»
13 years 11 months ago
Unsupervised Topic Adaptation for Lecture Speech Retrieval
We are developing a cross-media information retrieval system, in which users can view specific segments of lecture videos by submitting text queries. To produce a text index, the ...
Atsushi Fujii, Katunobu Itou, Tomoyosi Akiba, Tets...
SIGIR
2008
ACM
13 years 11 months ago
Using parsimonious language models on web data
In this paper we explore the use of parsimonious language models for web retrieval. These models are smaller thus more efficient than the standard language models and are therefor...
Rianne Kaptein, Rongmei Li, Djoerd Hiemstra, Jaap ...
INFORMATICALT
2006
116views more  INFORMATICALT 2006»
13 years 11 months ago
Cache-based Statistical Language Models of English and Highly Inflected Lithuanian
This paper investigates a variety of statistical cache-based language models built upon three corpora: English, Lithuanian, and Lithuanian base forms. The impact of the cache size,...
Airenas Vaiciunas, Gailius Raskinis
IPM
2008
102views more  IPM 2008»
13 years 12 months ago
Fast exact maximum likelihood estimation for mixture of language model
Language modeling is an effective and theoretically attractive probabilistic framework for text information retrieval. The basic idea of this approach is to estimate a language mo...
Yi Zhang 0001, Wei Xu
ICPR
2010
IEEE
14 years 1 days ago
A Probabilistic Language Model for Hand Drawings
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
Abdullah Akce, Timothy Bretl
ICASSP
2010
IEEE
14 years 1 days ago
Recognition of phonemes and words in singing
This paper studies the influence of n-gram language models in the recognition of sung phonemes and words. We train uni-, bi-, and trigram language models for phonemes and bi- and...
Annamaria Mesaros, Tuomas Virtanen
ICASSP
2010
IEEE
14 years 1 days ago
Language model adaptation using Random Forests
In this paper we investigate random forest based language model adaptation. Large amounts of out-of-domain data are used to grow the decision trees while very small amounts of in-...
Anoop Deoras, Frederick Jelinek, Yi Su
ICASSP
2010
IEEE
14 years 1 days ago
Power law discounting for n-gram language models
We present an approximation to the Bayesian hierarchical PitmanYor process language model which maintains the power law distribution over word tokens, while not requiring a comput...
Songfang Huang, Steve Renals
ICASSP
2010
IEEE
14 years 1 days ago
Jointly recognizing multi-speaker conversations
We suggest an approach to speech recognition where multiple sides of a conversation in a dialog or meeting are processed and decoded jointly rather than independently. We moreover...
Gang Ji, Jeff Bilmes
NAACL
1994
14 years 1 months ago
A One Pass Decoder Design For Large Vocabulary Recognition
To achieve reasonable accuracy in large vocabulary speech recognition systems, it is important to use detailed acoustic models together with good long span language models. For ex...
J. J. Odell, V. Valtchev, Philip C. Woodland, S. J...