DocumentCode
2068915
Title
On-line text generation using Markov models
Author
Szymanski, Grzegorz ; Ciota, Zygmunt
Author_Institution
Dept. of Microelectron. & Comput. Sci., Lodz Tech. Univ., Poland
fYear
2004
fDate
28-28 Feb. 2004
Firstpage
339
Lastpage
341
Abstract
Markov models (MM) of order k estimates the probability of occurrence of a value in a given position basing on the sequence of k preceding values, which are constituted in the learning process. The number of occurrences of words of length k+1 in the learning vector is calculated. The sequences, which start with the same k characters, constitute a context.
Keywords
hidden Markov models; learning (artificial intelligence); natural languages; probability; speech recognition; text analysis; Markov models; learning process; natural language processing; online text generation; probability; speech generation; Artificial intelligence; Electronic mail; Hidden Markov models; Microelectronics; Natural language processing; Predictive models; Speech processing; Speech recognition; Speech synthesis; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Modern Problems of Radio Engineering, Telecommunications and Computer Science, 2004. Proceedings of the International Conference
Conference_Location
Lviv-Slavsko, Ukraine
Print_ISBN
966-553-380-0
Type
conf
Filename
1365979
Link To Document