AUT Principles and Applications of Artificial Intelligence course (Fall 2020) projects

Artificial Intelligence Course 4th Project: Implementing Bigram and Unigram models for filtering comments

The goal of this script is to implement three langauge models to perform sentence completion, i.e. given a sentence with a missing word to choose the correct one from a list of candidate words. The way to use a language model for this problem is to consider a possible candidate word for the sentence at a time and then ask the language model whic…

NLP-persian-poet-identification

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

Implementation of unigram/bigram language models, noisy channel and pointwise mutual information for natural language processing.

Information retrival models using Inverted Index

Artifacts for CS-539 Natural Language Processing course

Training repo for Toy GPT: unigram + small neutral corpus (000_cat_dog.txt)

Using NLP and ML algorithm to predict the Airline Twitter Sentiment

Classifying texts using unigram and bigram models

Training repo for Toy GPT: unigram model + small structured corpus (001_animals.txt)

Text segmentation solution using natural language processing.

Determine if a sentence is English, French or Italian.

Train 4 types of language models (a unigram model, a smoothed unigram model, a bigram model, and a smoothed bigram model) on WikiText-2, a corpus of high-quality Wikipedia articles

A simple Python implementation of a Unigram Tagger and its evaluation for educational purposes.

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

Custom language model ranking and probability-based scoring for IR, built from scratch and benchmarked on queries.