Spelling corrector in python
My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
Lint anything by combining the power of scripts & regular expressions.
A framework for Arabic spelling correction using different seq2seq model architectures such as transformers and RNNs
A PDF to text converter using a MLP-based OCR.
Implemented some of the models and techniques learned in NLP to help build systems that help in daily life.
A tool similar to Autokey or AutoHotKey, but targeted mainly at word replacements.
Simple project for auto correction of words engine using Naive Bayes as an algorithm in modeling.
Auto correct app is a machine learning and NLP based project. It uses python and nltk library.
Simple example of Wagner Fischer's algorithm written is Rust Lang.
This project covers POS tagging using HMMs and neural networks (LSTM, BiLSTM) across multiple languages, and explores autocorrection methods with various n-gram models and error correction techniques.
Autocorrect Feature utilizes algorithms to detect and correct common spelling mistakes, ensuring that your text is polished and error-free
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