Spelling Corrector for Input Method Engine (IME)
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Updated
Mar 25, 2016 - Java
Spelling Corrector for Input Method Engine (IME)
This is an Urdu Word Spell Checker using Noisy Channel Model implemented in Python3.
Spelling Correction using Noisy Channel Models
CS 276 - Programming Assignment 2
The project uses the symmetric delete spelling correction algorithm, noisy channel model and python's natural language toolkit to develop a spell-checking application.
This is a project that uses Information Retrieval concepts to develop a Search-as-a-Service Platform
A context-sensitive, one-edit distance spelling corrector
Python program that generates the best suggestion for a given misspelled word using the Noisy Channel Model.
Bayesian thinking and Information Theory
Implementation of unigram/bigram language models, noisy channel and pointwise mutual information for natural language processing.
Misspelling corrector based on Hidden Markov Models and Noisy Channel Model. Project for Probabilistic Models for Decisions course @unimib18/19.
A simple python simulator to compare efficiency of different kinds of hamming coding in noisy channels
A web based application for Bengali spelling correction using Noisy Channel method
A context sensitive spell checker based on the Noisy Channel framework
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