hassyGo/NLG-RL
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction
This project provides methods for training neural machine translation (NMT) models more efficiently. It takes in parallel sentences in two languages and outputs a trained model capable of translating between them. It is intended for researchers and practitioners working on natural language processing tasks who need to develop or experiment with advanced NMT systems.
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Use this if you are a researcher or NLP engineer looking to experiment with or implement reinforcement learning techniques to accelerate the training of sentence generation models, specifically for neural machine translation.
Not ideal if you need an out-of-the-box translation service or a simple library for basic NMT model training without delving into advanced architectural or training methodology research.
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Python
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Last pushed
Jun 12, 2020
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