Unsupervised Machine Translation Using Monolingual Corpora Only Unsupervised Machine Translation Using Monolingual Corpora Only
Paper summary The model learns to translate using a seq2seq model, an autoencoder objective, and an adversarial objective for language identification. The system is trained to correct noisy versions of its own output and iteratively improves performance. Does not require parallel corpora, but relies on a separate method for inducing a parallel dictionary that bootstraps the translation. https://i.imgur.com/6uXNAgo.png
arxiv.org
arxiv-sanity.com
scholar.google.com
Unsupervised Machine Translation Using Monolingual Corpora Only
Guillaume Lample and Ludovic Denoyer and Marc'Aurelio Ranzato
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CL, cs.AI

more

Summary by Marek Rei 8 months ago
Loading...
Your comment:


ShortScience.org allows researchers to publish paper summaries that are voted on and ranked!
About

Sponsored by: and