Proceedings of the Second Conference on Machine Translation, WMT 2017, Copenhagen, Denmark, September 7-8, 2017

2017

16 citations recorded by the source corpus.

Subfields: Artificial Intelligence

Citations in the corpus

• Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling (2018, methodology): “We train machine translation (MT) models on WMT14 English-German (Bo-jar et al., 2014) and WMT17 English-Russian (Bojar et al., 2017).”
• What do you learn from context? Probing for sentence structure in contextualized word representations (2019, background): “The source data consists of 7 million sentences from web crawl, news, and government proceedings (WMT 2017; Bojar et al. (2017)).”
• Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling (2018, methodology): “Translation We train MT models on two datasets: WMT14 English-German (Bojar et al., 2014) and WMT17 English-Russian (Bojar et al., 2017).”
• Latent Alignment and Variational Attention (2018, methodology): “To show that variational attention scales to large datasets, we also experiment on the WMT 2017 English-German dataset [8], following the preprocessing in [74] except that we use newstest2017 as our test set.”