Ai project with basic language processing
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Updated
Aug 24, 2015 - C#
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”.
The Capstone Project for the Data Science Coursera Specialization
Markov model manually implemented that predicts words probabilistically based on historic data.
Text prediction Shiny tool based on N-grams and Semantic similarity
Word Level Language Models
A simple Objective-C implementation of word suggestion using n-gram probabilistic model
Trie data structure implementation using Javascript.
Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.
Lyrics crawling, pre-processing, embedding generation, model training, and lyrics generation - all in one tool
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
Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning
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…
Deals with a variety of basic techniques That can be used for predicting the next word in a sentence
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 repository contains various small Natural Language Processing based projects including text summarization using Spacy and N-grams, along with word predictions.
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