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{Rihards Kri{\v{s}}lauks Mat{\=\i}ss Rikters M{\=a}rcis Pinnis}

Abstract
The paper describes the development process of the Tilde{'}s NMT systems that were submitted for the WMT 2018 shared task on news translation. We describe the data filtering and pre-processing workflows, the NMT system training architectures, and automatic evaluation results. For the WMT 2018 shared task, we submitted seven systems (both constrained and unconstrained) for English-Estonian and Estonian-English translation directions. The submitted systems were trained using Transformer models.
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| machine-translation-on-wmt-2018-english | Multi-pass backtranslated adapted transformer | BLEU: 24.10 |
| machine-translation-on-wmt-2018-estonian | Multi-pass backtranslated adapted transformer | BLEU: 29.00 |
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