Papers by Mikołaj Pokrywka
ConECT Dataset: Overcoming Data Scarcity in Context-Aware E-Commerce MT (2025.acl-short)
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| Challenge: | Neural Machine Translation (NMT) has improved translation by using Transformer-based models, but still struggles with word ambiguity and context. |
| Approach: | They create a new Czech-to-polish e-commerce product translation dataset coupled with images and product metadata consisting of 11,400 sentence pairs. |
| Outcome: | The proposed model incorporates visual cues alongside textual data to improve translation quality. |