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UML
2005
Springer
16 years 16 hour ago
Practical Declarative Model Transformation with Tefkat
We present Tefkat, an implementation of a language designed specically for the transformation of MOF models using patterns and rules. The language adopts a declarative paradigm, w...
Michael Lawley, Jim Steel
MODELS
2010
Springer
15 years 5 months ago
Transformation-Based Parallelization of Request-Processing Applications
Abstract. Multicore, multithreaded processors are rapidly becoming the platform of choice for high-throughput request-processing applications (RPAs). We refer to this class of mode...
Taylor L. Riché, Harrick M. Vin, Don S. Bat...
CSL
2004
Springer
15 years 6 months ago
Contemporaneous text as side-information in statistical language modeling
We propose new methods to exploit contemporaneous text, such as on-line news articles, to improve language models for automatic speech recognition and other natural language proce...
Sanjeev Khudanpur, Woosung Kim
ICASSP
2011
IEEE
14 years 10 months ago
Distributed training of large scale exponential language models
Shrinkage-based exponential language models, such as the recently introduced Model M, have provided significant gains over a range of tasks [1]. Training such models requires a l...
Abhinav Sethy, Stanley F. Chen, Bhuvana Ramabhadra...
ICASSP
2010
IEEE
15 years 6 months ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang