89 search results - page 8 / 18 » Language Dynamics and Capitalization using Maximum Entropy |
112
Voted
ACL
2006
15 years 2 months ago
2006
This paper investigates a machine learning approach for temporally ordering and anchoring events in natural language texts. To address data sparseness, we used temporal reasoning ...
ACL
2007
15 years 2 months ago
2007
This paper describes our work on building Part-of-Speech (POS) tagger for Bengali. We have use Hidden Markov Model (HMM) and Maximum Entropy (ME) based stochastic taggers. Bengali...
156
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...
98
Voted
IJCNLP
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. This paper presents an empirical study on four techniques of language model adaptation, including a maximum a posteriori (MAP) method and three discriminative training mo...
97
Voted
ICASSP
2008
IEEE
15 years 7 months ago
2008
IEEE
Automatic Speech Recognition (ASR) systems continue to make errors during search when handling various phenomena including noise, pronunciation variation, and out of vocabulary (O...