643 search results - page 2 / 129 » An Empirical Study of Smoothing Techniques for Language Mode... |
EMMCVPR
2005
Springer
2005
Springer
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
13 years 10 months ago
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper extends language identification (LID) techniques to a large scale accent classification task: 23-way classification of foreign-accented English. We find that a pure...
IBPRIA
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. In a previous work, a new probabilistic context-free grammar (PCFG) model for natural language parsing derived from a tree bank corpus has been introduced. The model esti...
ECOOP
2000
Springer
13 years 9 months ago
2000
Springer
Althoughthereisalargebodyofresearchonthetimeoverheadofobject oriented programs, there is little work on memory overhead. This paper takes an empirical approach to the study of this...
SIGIR
2008
ACM
13 years 5 months ago
2008
ACM
Recent work on language models for information retrieval has shown that smoothing language models is crucial for achieving good retrieval performance. Many different effective smo...