GitHub / sohailahmedkhan / Sentence-Completion-using-Hidden-Markov-Models
The goal of this script is to implement three langauge models to perform sentence completion, i.e. given a sentence with a missing word to choose the correct one from a list of candidate words. The way to use a language model for this problem is to consider a possible candidate word for the sentence at a time and then ask the language model which version of the sentence is the most probable one.
Stars: 6
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 5.86 KB
Dependencies parsed at: Pending
Created at: about 6 years ago
Updated at: about 2 years ago
Pushed at: about 6 years ago
Last synced at: about 2 years ago
Topics: bigrams, hidden-markov-models, language-model, markov-model, natural-language-processing, nlp, nlp-machine-learning, python, python3, sentence-completion, unigram-model