Spelling Correction using Noisy Channel Models
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Updated
Mar 20, 2018 - Python
Spelling Correction using Noisy Channel Models
The project uses the symmetric delete spelling correction algorithm, noisy channel model and python's natural language toolkit to develop a spell-checking application.
Python program that generates the best suggestion for a given misspelled word using the Noisy Channel Model.
This is a project that uses Information Retrieval concepts to develop a Search-as-a-Service Platform
Implementation of unigram/bigram language models, noisy channel and pointwise mutual information for natural language processing.
A web based application for Bengali spelling correction using Noisy Channel method
A simple python simulator to compare efficiency of different kinds of hamming coding in noisy channels
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