A web based application for Bengali spelling correction using Noisy Channel method
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Updated
Sep 17, 2024 - Python
A web based application for Bengali spelling correction using Noisy Channel method
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
Bayesian thinking and Information Theory
Misspelling corrector based on Hidden Markov Models and Noisy Channel Model. Project for Probabilistic Models for Decisions course @unimib18/19.
The project uses the symmetric delete spelling correction algorithm, noisy channel model and python's natural language toolkit to develop a spell-checking application.
A context-sensitive, one-edit distance spelling corrector
This is an Urdu Word Spell Checker using Noisy Channel Model implemented in Python3.
Implementation of unigram/bigram language models, noisy channel and pointwise mutual information for natural language processing.
A simple python simulator to compare efficiency of different kinds of hamming coding in noisy channels
Spelling Correction using Noisy Channel Models
CS 276 - Programming Assignment 2
Spelling Corrector for Input Method Engine (IME)
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