H94-1013 |
desert ` be our latest attempt at
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adaptive language modeling
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. At the heart of our approach
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W11-3509 |
papers to our knowledge explore
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adaptive language modeling
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of IM for Asian languages . Tanaka-Ishii
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W15-2506 |
Rosenfeld ( 1994 ) . The approach to
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adaptive language modeling
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uses a maximum entropy model
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H93-1013 |
search , acoustic model - ing , and
|
adaptive language modeling
|
. The applications oriented papers
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W03-0408 |
our problems . Motivated from
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adaptive language modeling
|
, transformation based adaptation
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H93-1013 |
non-mixture based system . In "
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Adaptive Language Modeling
|
Using the Maximum Entropy Principle
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N06-2032 |
; Galley et al. , 2003 ) , and
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adaptive language modeling
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( Beeferman et al. , 1999 ) .
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W95-0108 |
mode seems much more suitable for
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adaptive language modeling
|
over longer test corpora , for
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W06-1644 |
explored by many researchers .
|
Adaptive language modeling
|
exploits the property that words
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N04-4007 |
system , and by including time -
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adaptive language modeling
|
and time-adaptive acoustic modeling
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H92-1020 |
techniques is to be achieved . <title>
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ADAPTIVE LANGUAGE MODELING
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USING MINIMUM DISCRIMINANT ESTIMATION
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P10-2043 |
co-occurrence ( Li et al. , 2008 ) ,
|
adaptive language modeling
|
( Levenberg and Osborne , 2009
|
H93-1021 |
number N00014 - 92-J-1778 . <title>
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ADAPTIVE LANGUAGE MODELING
|
USING THE MAXIMUM ENTROPY PRINCIPLE
|
H93-1021 |
Lau Ronald Rosenfel Salim Roukos
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ADAPTIVE LANGUAGE MODELING
|
USING THE MAXIMUM ENTROPY PRINCIPLE
|