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 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.

Language modeling on the Penn Treebank (PTB) corpus using a trigram model with linear interpolation, a neural probabilistic language model, and a regularized LSTM.

analyze trump's nonsense, feed in a topic, and generate a new tweet based on a custom corpus.

Natural Language Processing - Part-Of-Speech Tagging

Solutions for Andrej Karpathy's "Neural Networks: Zero to Hero" course

AI (trigram model) text prediction.

COMP472 AI MINI PROJECT 3

Measuring the performance of bigrams and trigrams in language modeling problems

predict word using trigram

Bigram and Trigram Language Models. This repository provides my solution for the 1st Assignment for the course of Text Analytics for the MSc in Data Science at Athens University of Economics and Business.

A poem will be generated using different Language models in Urdu language. This poem will consist of three stanzas each containing four verses.

Artifacts for CS-539 Natural Language Processing course

Bigram and Trigram Language Modeling

a program to build a GUI auto filling program using trigram model

Artificial Intelligence story maker using methods such as the markov chain, bigram & trigram models.

An NLP project leveraging character trigrams and smoothing techniques (Lidstone, Linear Discounting, Absolute Discounting) for language identification. Trained on for Spanish, Italian, English, French, Dutch, and German, achieving 99.8932% accuracy. Includes datasets, model parameters, and comprehensive documentation.

This repository contains Natural Language Processing programs in the Python programming language.