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INTERSPEECH
2010
14 years 10 months ago
Regularized-MLLR speaker adaptation for computer-assisted language learning system
In this paper, we propose a novel speaker adaptation technique, regularized-MLLR, for Computer Assisted Language Learning (CALL) systems. This method uses a linear combination of ...
Dean Luo, Yu Qiao, Nobuaki Minematsu, Yutaka Yamau...
MLG
2007
Springer
15 years 9 months ago
A Universal Kernel for Learning Regular Languages
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
Leonid Kontorovich
171
Voted
CRYPTO
2012
Springer
327views Cryptology» more  CRYPTO 2012»
13 years 6 months ago
Functional Encryption for Regular Languages
We provide a functional encryption system that supports functionality for regular languages. In our system a secret key is associated with a Deterministic Finite Automata (DFA) M....
Brent Waters
ICML
2005
IEEE
16 years 4 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
122
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IFIP
2004
Springer
15 years 9 months ago
Regular Tree Language Recognition with Static Information
This paper presents our compilation strategy to produce efficient code for pattern matching in the CDuce compiler, taking into account static information provided by the type syst...
Alain Frisch