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

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

Ngrams with Basic Smoothings

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

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.

Programming for NLP Project - Implement a basic n-gram language model and generate sentence using beam search

A general emoji-text translator which translates emoji-text to chinese

Built a system from scratch in Python which can detect spelling and grammatical errors in a word and sentence respectively using N-gram based Smoothed-Language Model, Levenshtein Distance, Hidden Markov Model and Naive Bayes Classifier.

Markov model for generating fake headlines ✏️

Ngrams with Basic Smoothings

It's a python based n-gram langauage model which calculates bigrams, probability and smooth probability (laplace) of a sentence using bi-gram and perplexity of the model.

Language identification toolkit for identifying what language a document is writen in

Ngrams with Basic Smoothings

Ngrams with Basic Smoothings

N-Gram language model that learns n-gram probabilities from a given corpus and generates new sentences from it based on the conditional probabilities from the generated words and phrases.

Ngram language model implemented in Pharo

NLP-persian-poet-identification

Slides, exercises, and exams for my course "Natural Language Processing" (École Pour l'Informatique et les Techniques Avancées, 2024)

Language identifier with using ngram language model

Part of a semester project this grammarchecker uses a n-gram language model to detect grammatical errors and a bert model is used to generate suggestions.