A study on the use of sequence-to-sequence neural networks for automatic translation of brazilian portuguese to LIBRAS-Reference-Cited by-同舟云学术

A study on the use of sequence-to-sequence neural networks for automatic translation of brazilian portuguese to LIBRAS

Published:2019-10-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th Brazillian Symposium on Multimedia and the Web
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Author:

Veríssimo Vinícius¹,Silva Cecília¹,Hanael Vitor¹,Moraes Caio¹,Costa Rostand¹,Maritan Tiago¹,Aschoff Manuella¹,Gaudêncio Thaís¹

Affiliation:

1. LAVID/UFPB

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3323503.3360292

Reference35 articles.

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2. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. ICLR (2015). Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. ICLR (2015).

3. DESIGN OF EXPERIMENTS ON NEURAL NETWORK'S PARAMETERS OPTIMIZATION FOR TIME SERIES FORECASTING IN STOCK MARKETS

4. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches

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