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ICASSP
2008
IEEE
14 years 3 months ago
Discriminative learning for optimizing detection performance in spoken language recognition
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
14 years 2 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
NAACL
2007
13 years 10 months ago
Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
We propose three new features for MT evaluation: source-sentence constrained n-gram precision, source-sentence reordering metrics, and discriminative unigram precision, as well as...
Ding Liu, Daniel Gildea
ECOOP
1998
Springer
14 years 24 days ago
Design and Partial Evaluation of Meta-Objects for a Concurrent Reflective Language
Customizable meta-objects are a powerful abstraction for extending language features and implementation mechanisms, but interpretive execution suffers from severe performance penal...
Hidehiko Masuhara, Akinori Yonezawa
CICLING
2011
Springer
13 years 4 days ago
Ranking Multilingual Documents Using Minimal Language Dependent Resources
This paper proposes an approach of extracting simple and effective features that enhances multilingual document ranking (MLDR). There is limited prior research on capturing the co...
G. S. K. Santosh, N. Kiran Kumar, Vasudeva Varma