The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020 | 0 | 0.34 | 2020 |
Automatic error classification with multiple error labels. | 0 | 0.34 | 2019 |
Involving language professionals in the evaluation of machine translation | 3 | 0.50 | 2014 |
The taraXÜ corpus of human-annotated machine translations. | 1 | 0.35 | 2014 |
What can we learn about the selection mechanism for post-editing? | 0 | 0.34 | 2013 |
A CCG-based Quality Estimation Metric for Statistical Machine Translation Learning from Human Judgments of Machine Translation Output. | 0 | 0.34 | 2013 |
Learning from Human Judgments of Machine Translation Output. | 0 | 0.34 | 2013 |
Towards the Integration of MT into a LSP Translation Workflow | 0 | 0.34 | 2012 |
DFKI's SMT system for WMT 2012 | 2 | 0.45 | 2012 |
Involving Language Professionals in the Evaluation of Machine Translation. | 1 | 0.38 | 2012 |
DFKI's SMT System for WMT 2012. | 0 | 0.34 | 2012 |
Evaluate with confidence estimation: machine ranking of translation outputs using grammatical features | 16 | 0.82 | 2011 |
Evaluation without references: IBM1 scores as evaluation metrics | 11 | 0.69 | 2011 |
DFKI's SC and MT submissions to IWSLT 2011. | 0 | 0.34 | 2011 |