NeuSpell: A Neural Spelling Correction Toolkit

Modern spell checking library - accurate, fast, multi-language

Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development

A C++ library providing fast language model queries in compressed space.

Colibri core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool ``colibri-patternmodeller`` whi ch allows you to build, view, manipulate a…

Next-token prediction in JavaScript — build fast language and diffusion models.

NLP Functions for amplifying negations, managing elisions, creating ngrams, stems, phonetic codes to tokens and more.

A fast and reliable PHP library for detecting languages

Python implementation of an N-gram language model with Laplace smoothing and sentence generation.

A flexible and general-purpose ngrams library written in Ruby. Raingrams supports ngram sizes greater than 1, text/non-text grams, multiple parsing styles and open/closed vocabulary models.

Poetry generation via natural language markov models

Typing Assistant provides the ability to autocomplete words and suggests predictions for the next word. This makes typing faster, more intelligent and reduces effort.

This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera Taught by Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu

Next Word Prediction using n-gram Probabilistic Model with various Smoothing Techniques

🦜 NLP for Tibetan, in Python.

Word/n-gram frequency lists for the Google Books Ngram Corpus (v3, all languages) with Python code

Rust library providing fast language model queries in compressed space

Random Thai text generator

Detecting Malware in PE files

A C++ library implementing fast language models estimation using the 1-Sort algorithm.