A PDF to text converter using a MLP-based OCR.
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Updated
Sep 3, 2017 - C++
A PDF to text converter using a MLP-based OCR.
Simple project for auto correction of words engine using Naive Bayes as an algorithm in modeling.
Implemented some of the models and techniques learned in NLP to help build systems that help in daily life.
Lint anything by combining the power of scripts & regular expressions.
My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
Autocorrect Feature utilizes algorithms to detect and correct common spelling mistakes, ensuring that your text is polished and error-free
Auto correct app is a machine learning and NLP based project. It uses python and nltk library.
A tool similar to Autokey or AutoHotKey, but targeted mainly at word replacements.
Spelling corrector in python
Lietuviškas automatinio taisymo žodynas
Simple example of Wagner Fischer's algorithm written is Rust Lang.
A framework for Arabic spelling correction using different seq2seq model architectures such as transformers and RNNs
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.
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