Papers with English and French Wikipedia data

1 papers
Self-Supervised Neural Machine Translation (P19-1)

Copied to clipboard

Challenge: Neural machine translation (NMT) methods relied on the availability of high-quality parallel corpora.
Approach: They propose a method where an emergent NMT system is used for selecting training data and learning internal NMT representations.
Outcome: The proposed method achieves BLEU scores of 29.21 (en2fr) and 27.36 (fr2en) on newstest2014 using English and French Wikipedia data for training.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations