Papers › Tilde's Machine Translation Systems for WMT 2018
Tilde's Machine Translation Systems for WMT 2018
M{\=a}rcis Pinnis, Mat{\=\i}ss Rikters, Rihards Kri{\v{s}}lauks
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.
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Machine Translation | WMT 2018 English-Estonian | Multi-pass backtranslated adapted transformer | BLEU | 24.10 | #1 of 1 | Archive leaderboard | report |
| Machine Translation | WMT 2018 Estonian-English | Multi-pass backtranslated adapted transformer | BLEU | 29.00 | #1 of 1 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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