Natalia Makhamalkina

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2022

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PROMT Systems for WMT22 General Translation Task
Alexander Molchanov | Vladislav Kovalenko | Natalia Makhamalkina
Proceedings of the Seventh Conference on Machine Translation (WMT)

The PROMT systems are trained with the MarianNMT toolkit. All systems use the transformer-big configuration. We use BPE for text encoding, the vocabulary sizes vary from 24k to 32k for different language pairs. All systems are unconstrained. We use all data provided by the WMT organizers, all publicly available data and some private data. We participate in four directions: English-Russian, English-German and German-English, Ukrainian-English.
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