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» Recurrent neural network based language model
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ICDAR
2009
IEEE
15 years 4 months ago
Recurrent HMMs and Cursive Handwriting Recognition Graphs
Standard cursive handwriting recognition is based on a language model, mostly a lexicon of possible word hypotheses or character n-grams. The result is a list of word alternatives...
Marc-Peter Schambach
NN
2007
Springer
162views Neural Networks» more  NN 2007»
15 years 6 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
AI
2002
Springer
15 years 7 months ago
A Constructive Approach to Parsing with Neural Networks - The Hybrid Connectionist Parsing Method
The concept of Dynamic Neural Networks (DNN) is a new approach within the Neural Network paradigm, which is based on the dynamic construction of Neural Networks during the processi...
Christel Kemke
ICTAI
2008
IEEE
16 years 1 months ago
Neural Network Language Models for Translation with Limited Data
In this paper we present how to estimate a continuous space Language Model with a Neural Network to be used in a Statistical Machine Translation system. We report results for an I...
Maxim Khalilov, José A. R. Fonollosa, Franc...
ICONIP
2008
15 years 8 months ago
Noise-Tolerant Analog Circuits for Sensory Segmentation Based on Symmetric STDP Learning
Abstract. We previously proposed a neural segmentation model suitable for implementation with complementary metal-oxide-semiconductor (CMOS) circuits. The model consists of neural ...
Gessyca Maria Tovar, Tetsuya Asai, Yoshihito Amemi...