130 search results - page 2 / 26 » A Stochastic Language Model using Dependency and Its Improve... |
ICDAR
2009
IEEE
14 years 29 days ago
2009
IEEE
The word error rate of any optical character recognition system (OCR) is usually substantially below its component or character error rate. This is especially true of Indic langua...
CORR
2000
Springer
13 years 6 months ago
2000
Springer
A new language model for speech recognition inspired by linguistic analysis is presented. The model develops hidden hierarchical structure incrementally and uses it to extract mea...
COLING
2010
13 years 1 months ago
2010
We show that unsupervised part of speech tagging performance can be significantly improved using likely substitutes for target words given by a statistical language model. We choo...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Model M, a novel class-based exponential language model, has been shown to significantly outperform word n-gram models in state-of-the-art machine translation and speech recognit...
ACL
2007
13 years 7 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...