Paper: Speech Recognition And The Frequency Of Recently Used Words: A Modified Markov Model For Natural Language

ACL ID C88-1071
Title Speech Recognition And The Frequency Of Recently Used Words: A Modified Markov Model For Natural Language
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1988
Authors

Speech recognition systems incorporate a language model which, at each stage of the recognition task, assigns a probabil- ity of occurrence to each word in the vocabulary. A class of Mar- kov langnage models identified by Jclinek has achieved consider-. able success in this domain. A modification of the Markov approach, wblch assigns higher probabilities to recently used words, is proposed and tested against a pure Markov model. Parameter calculation and comparison of the two models both involve use of the LOB CorPus of tagged modern English.