ACL RD-TEC 1.0 Summarization of C90-3038
Paper Title:
NEURAL NETWORK APPROACH TO WORD CATEGORY PREDICTION FOR ENGLISH TEXTS
NEURAL NETWORK APPROACH TO WORD CATEGORY PREDICTION FOR ENGLISH TEXTS
Authors: Masami NAKAMURA and Katsuteru MARUYAMA and Takeshi KAWABATA and Kiyohiro SHIKANO
Primarily assigned technology terms:
- algorithm
- approximation
- back-propagation
- back-propagation algorithm
- bigram training
- clustering
- coding
- computing
- data coding
- data representation
- database
- english word recognition
- markov model
- maximum likelihood
- neural net
- neural network
- neural network approach
- neural networks
- pattern recognition
- processing
- processor
- recognition
- recognition system
- speech processing
- speech recognition
- speech recognition \
- statistical approaches
- tile
- training algorithm
- trigram training
- weighting
- word category prediction
- word recognition
Other assigned terms:
- approach
- bigram
- brown corpus
- case
- data structures
- dictionary
- distribution
- english text
- entropy
- feature
- histogram
- interpolation
- language model
- likelihood
- linguistic
- linguistic information
- linguistic structure
- log-likelihood
- many-to-many mapping
- mapping
- mappings
- n-gram
- norm
- occurrence probability
- permutation
- phonemes
- preprocessor
- probabilities
- probability
- probability distribution
- procedure
- process
- pronoun
- recognition errors
- recognition rate
- research and development
- sentence
- sentences
- sigmoid function
- statistical approach
- statistical model
- symbol
- syntax
- technique
- term
- test data
- text
- text database
- training
- training data
- training samples
- trigram
- trigram language model
- trigram model
- verb
- verb group
- weight vector
- word
- word candidate
- word category
- word dictionary
- word sequence
- word sequences
- word trigram
- words
