Title :
On-line text generation using Markov models
Author :
Szymanski, Grzegorz ; Ciota, Zygmunt
Author_Institution :
Dept. of Microelectron. & Comput. Sci., Lodz Tech. Univ., Poland
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;
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
