ACL RD-TEC 1.0 Summarization of C94-1030
Paper Title:
AN EVALUATION TO DETECT AND CORRECT ERRONEOUS CHARACTERS WRONGLY SUBSTITUTED, DELETED AND INSERTED IN JAPANESE AND ENGLISH SENTENCES USING MARKOV MODELS
AN EVALUATION TO DETECT AND CORRECT ERRONEOUS CHARACTERS WRONGLY SUBSTITUTED, DELETED AND INSERTED IN JAPANESE AND ENGLISH SENTENCES USING MARKOV MODELS
Authors: Tetsuo ARAKI and Satoru IKEHARA and Nobuyuki TSUKAHARA and Yasunori KOMATSU
Primarily assigned technology terms:
- algorithm
- character recognition
- error correction
- error detection
- language analysis
- language processing
- learning
- machine learning
- markov model
- md error correction
- natural language analysis
- natural language processing
- neural networks
- optical character recognition
- processing
- recognition
- recognition device
- speech recognition
- speech recognition device
- statistical approaches
- tile
Other assigned terms:
- alphabet
- bunsetsu
- case
- characters
- continuous speech
- device
- dictionary
- english sentence
- experimental results
- japanese sentences
- joint probability
- kanji
- key words
- markov chain
- markov models
- meaning
- method
- natural language
- phoneme
- probabilities
- probability
- procedure
- relation
- sentence
- sentences
- statistical data
- statistics
- symbol
- technologies
- word
- words
