572 search results - page 1 / 115 » A Neural Probabilistic Language Model |
TNN
2008
13 years 4 months ago
2008
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— Serious efforts to develop computerized systems for natural language understanding and machine translation have taken place for more than half a century. Some successful system...
NIPS
2000
13 years 6 months ago
2000
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
It has already been shown how Artificial Neural Networks (ANNs) can be incorporated into probabilistic models. In this paper we review some of the approaches which have been prop...
NIPS
2008
13 years 6 months ago
2008
Neural probabilistic language models (NPLMs) have been shown to be competitive with and occasionally superior to the widely-used n-gram language models. The main drawback of NPLMs...