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
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Updated
May 24, 2024 - Jupyter Notebook
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 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 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 investigates similar word prediction using pre-trained word embeddings from the Gensim library.
Different approaches for context word prediction. [IN PROGRESS]...
feedforward neural network for next word prediction
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
English Word Suggestion Based on POS-Ngram
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 project leverages the NLTK library and the Reuters corpus to build a next-word prediction model using bigrams and conditional frequency distributions.
lstm based language modelling (next-word prediction)
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
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.
A project studying language models such as N-gram, RNN, and Transformer to provide accurate word predictions for users while typing.
Ai project with basic language processing
Trie data structure implementation using Javascript.
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