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