There are 4 repositories under word-prediction topic.
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
A simple Objective-C implementation of word suggestion using n-gram probabilistic model
Presage based input predictor for the Sailfish OS
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.
Fork of Presage (http://presage.sourceforge.net/)
Application for character prediction using machine learning. The application is implemented using LSTM neural networks.
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 Predictor using an n-gram model for the final project of our Natural Language Processing course
LaTeX source of my bachelor thesis “Fast and Non-Approximative Language Model Prefixqueries for Word Prediction using Top-k Joining Techniques”.
N-gram ile Sonraki Kelime Tahmini
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
Word Level Language Models
English Word Suggestion Based on POS-Ngram
This project implements a Word2Vec model for similar word prediction, utilizing Hugging Face Datasets for efficient data loading and pre-processing.
Different approaches for context word prediction. [IN PROGRESS]...
Analyze your WhatsApp chats and get word suggestions based on your chat history while writing!
applying different RNN architecture to build character prediction model and a word based prediction model these model are trained on data of specific topics from wikipedia
This project uses LSTM, a type of neural network, for next word prediction. You input a seed text and specify the desired length. The LSTM model then generates the next word based on learned patterns from training data. It's a user-friendly tool for exploring how well the model can predict and generate coherent text continuations.
This repo is being created to store the code and implementation part of the N- Gram model using both Statistical and Neural Net approach
This project leverages the NLTK library and the Reuters corpus to build a next-word prediction model using bigrams and conditional frequency distributions.
This project investigates similar word prediction using pre-trained word embeddings from the Gensim library.
Program developed in C++ that will recommend new word to user based on frequency of his previously entered words.
feedforward neural network for next word prediction
lstm based language modelling (next-word prediction)
Implemented BiDirectional Long Short- Term Memory (BiLSTM) to build a Future Word Prediction model. The project involved training these models using large datasets of textual data and tuning hyperparameters to optimize the accuracy of the model.