GitHub / YashaswiniSampath / Probabilistic-reasoning-for-NLP-and-Vision
This repository features projects on Part-of-Speech Tagging and Optical Character Recognition (OCR). For POS tagging, we use Bayes Nets and the Viterbi Algorithm to label words in sentences. Our OCR project uses emission probabilities and Hidden Markov Models (HMMs) to accurately read text from images.
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PURL: pkg:github/YashaswiniSampath/Probabilistic-reasoning-for-NLP-and-Vision
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 4.82 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 6 months ago
Topics: artificial-intelligence, hmm-viterbi-algorithm, machine-learning, naive-bayes-classifier, natural-language-processing, optical-character-recognition, python, statistics