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USING HIDDEN MARKOV MODEL AND VITERBI ALGORITHM FOR UZBEK LANGUAGE PROCESSING IN PYTHON

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In Natural Language Processing, automatic part-of-speech recognition is important. There are several ways to automatically detect parts of speech; this article discusses the use of a hidden Markov model based on the Viterbi algorithm using the Python environment.

AUTHORS

SH.Murodov

Qarshi xalqaro universiteti

Tags

# Python# Maxfiy Markov modeli (MMM)# Viterbi algoritmi# tabiiy tilni avtomatik qayta# so‘z turkumlari# POS-razmetka# mashinaviy tarjima tizimlari# nutqni tanib olish.# скрытая Марковская модель (СМ# алгоритм Витерби# автоматическая обработка естес# части речи# POS-разметка# системы машинного перевода (СМП)# распознавание речи.# Hidden Markov Model (HMM)# Viterbi algorithm# Natural Language Processing (N# Part of Speech (POS)# POS tagging# Machine Translation Systems (MT# Speech Recognition.

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References

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