Title :
LEXICAL TAGGER BASED ON HIDDEN MARKOV MODEL
Author :
Hernandez, R.C. ; Benedí, J.M. ; Sánchez, J.A. ; Cabrera, R. Guzmán
Author_Institution :
Fac. de Ingenieria Mecanica Electr. Electron., Univ. de Guanajuato, Salamanca
Abstract :
In this work we present a lexical tagger for English using hidden Markov models with a probabilistic model of distribution of words in categories. The corpus used and set of labels corresponding to the categories is described. After, the model use is described and the form which it is estimated. Finally, we show the realized experiments and the obtained results.
Keywords :
hidden Markov models; natural language processing; probability; vocabulary; word processing; corpus tagging; hidden Markov model; lexical tagger; probabilistic model; vocabulary; word distribution; Data mining; Equations; Frequency; Hidden Markov models; Information retrieval; Natural language processing; Tagging; Testing; Text categorization; Tuning;
Conference_Titel :
Electronics and Photonics, 2006. MEP 2006. Multiconference on
Conference_Location :
Guanajuato
Print_ISBN :
1-4244-0627-7
Electronic_ISBN :
1-4244-0628-5
DOI :
10.1109/MEP.2006.335674
