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