Python library for extracting quantitative, reproducible metrics of multi-level alignment between speakers in naturalistic language corpora.

NGRAMS is a search engine for the Google Books Ngram Dataset. This repository contains documentation, discussions, announcements, and issues.

This project is an auto-filling text program implemented in Python using N-gram models. The program suggests the next word based on the input given by the user. It utilizes N-gram models, specifically Trigrams and Bigrams, to generate predictions.

Restrict your child to watching Adult Content on YouTube using Android Accessibility.

N-Gram Analysis of Biological Sequences

The examples I prepared and brought together about the natural language processing topics I learned.

A full-text search engine in Go with fuzzy (partial words/typos) search based on prefix trees and instant indexing

GuessMyGender - A Name based Gender Predictor for Indian Names

Сравнение нескольких способов представления слов для построения языковых моделей

ALIGN 2.0: Modern Python package for multi-level linguistic alignment analysis. Faster, streamlined, and feature-rich while maintaining full compatibility with the original ALIGN methodology (Duran, Paxton, & Fusaroli, 2019). Recommended for all new projects. Original version: https://github.com/nickduran/align-linguistic-alignment

Natural language processing project to calculate patient readmission probability and summary of notes.

Creates ngrams from wordlists.

📈 Gathers & Plots the Google Ngram Graph for any Ngram in Python

A PHP Library to extract n-grams from a text. Simple preprocessing tools (cleaning, tokenizing) included.

Malware Family Classification.

A workflow using Alteryx, Python and Tableau to extract and analyse n-grams from a large set of raw email text.

This software is an implementation of Author's stylometric change detection algorithm. It can be used in text forensics.

Crawl websites and extract meaningful information from HTML and site content

N-gram Go library

an n-gram is a contiguous sequence of n items from a given sequence of text or speech.