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

Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.

A learning JavaScript dictionary-based word prediction / autocomplete / suggestion library.

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

Lyrics crawling, pre-processing, embedding generation, model training, and lyrics generation - all in one tool

A transformer-based language model trained on politics-related Twitter data. This repo is the official resource of the paper "PoliBERTweet: A Pre-trained Language Model for Analyzing Political Content on Twitter", LREC 2022

Presage based input predictor for the Sailfish OS

Fork of Presage (http://presage.sourceforge.net/)

A simple Objective-C implementation of word suggestion using n-gram probabilistic model

Goal of this work is to take Bengali one or more words as input in a system and predict the next most likely word and also suggest the full possible sentence as output. Recurrent Neural Network (RNN) was used with Gated Recurrent Unit (GRU) to train and create the model. About 200,000 plus word data has been used as dataset. The dataset has been collected from several authentic sources. We also published a paper based on our unique work.

Markov model manually implemented that predicts words probabilistically based on historic data.

predict 10 words with n-gram techniqe

Application for character prediction using machine learning. The application is implemented using LSTM neural networks.

Expo module that exposes underlying native spell checker (iOS and android) and word completions (iOS only) - to react-native apps, via TypeScript interface.

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This repository contains various small Natural Language Processing based projects including text summarization using Spacy and N-grams, along with word predictions.

Ai project with basic language processing

Word Level Language Models

N-gram ile Sonraki Kelime Tahmini

Word Predictor using an n-gram model for the final project of our Natural Language Processing course

This project leverages the NLTK library and the Reuters corpus to build a next-word prediction model using bigrams and conditional frequency distributions.

LaTeX source of my bachelor thesis “Fast and Non-Approximative Language Model Prefixqueries for Word Prediction using Top-k Joining Techniques”.

Draw UI for colab, useful to take hand writings from mouse in colab itself

Deals with a variety of basic techniques That can be used for predicting the next word in a sentence

This project implements a Word2Vec model for similar word prediction, utilizing Hugging Face Datasets for efficient data loading and pre-processing.

Configuration et évaluation d'un système de prédiction de mots au sein d'un logiciel de Communication Améliorée et Alternative (CAA) pour personnes handicapées : Étude de Presage et ACAT

This project investigates similar word prediction using pre-trained word embeddings from the Gensim library.

Trie data structure implementation using Javascript.

This project is a Markov Chain-based text generator implemented in Python. It processes a given text file to build a probabilistic model of word sequences, allowing it to generate new, coherent text that mimics the style and structure of the input.