Deep Learning Nanodegree Foundations Project 4
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Updated
Jun 3, 2017 - HTML
Deep Learning Nanodegree Foundations Project 4
Neural Machine Translation with TensorFlow
Text-To-Speech-Text (TTST) simplifies tech for everyone, turning written text into spoken words. It's a computer system that reads any input aloud, promoting accessibility. English to desired language TTST aids in localizing computer applications, enhancing user understanding.
The University of Tartu demo website for neural machine translation
reconhecimento de voz usando o tensorFlow.js
In this project, you’re going to take a peek into the realm of neural network machine translation. You’ll be training a sequence to sequence model on a dataset of English and French sentences that can translate new sentences from English to French.
A front-end solution that (will) connect to Custom Translator / Cognitive Services suite to interact with a custom Te Reo Māori Neural Machine Translation (NMT) model.
Materials for "DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages" at EMNLP'22 🗺️
Open information and community for machine translation
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