Nematus: a Toolkit for Neural Machine Translation
March 13, 2017 Β· Declared Dead Β· π Conference of the European Chapter of the Association for Computational Linguistics
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Rico Sennrich, Orhan Firat, Kyunghyun Cho, Alexandra Birch, Barry Haddow, Julian Hitschler, Marcin Junczys-Dowmunt, Samuel LΓ€ubli, Antonio Valerio Miceli Barone, Jozef Mokry, Maria NΔdejde
arXiv ID
1703.04357
Category
cs.CL: Computation & Language
Citations
407
Venue
Conference of the European Chapter of the Association for Computational Linguistics
Last Checked
3 months ago
Abstract
We present Nematus, a toolkit for Neural Machine Translation. The toolkit prioritizes high translation accuracy, usability, and extensibility. Nematus has been used to build top-performing submissions to shared translation tasks at WMT and IWSLT, and has been used to train systems for production environments.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Computation & Language
π
π
Old Age
π
π
Old Age
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
R.I.P.
π»
Ghosted
Language Models are Few-Shot Learners
R.I.P.
π»
Ghosted
RoBERTa: A Robustly Optimized BERT Pretraining Approach
R.I.P.
π»
Ghosted
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
R.I.P.
π»
Ghosted
Deep contextualized word representations
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
π»
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
π»
Ghosted
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
R.I.P.
π»
Ghosted