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2022 EMNLP EMNLP 2022

GTCOM Neural Machine Translation Systems for WMT22

AbstractGTCOM participates in five directions: English to/from Ukrainian, Ukrainian to/from Czech, English to Chinese and English to Croatian. Our submitted systems are unconstrained and focus on backtranslation, multilingual translation model and finetuning. Multilingual translation model focus on X to one and one to X. We also apply rules and language model to filter monolingual, parallel sentences and synthetic sentences.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

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