5 citations · 8 across the 7 of their papers we have counts for
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Exploring the Feasibility of Multilingual Grammatical Error Correction with a Single LLM up to 9B parameters: A Comparative Study of 17 Models
Dawid Wisniewski, Antoni Solarski, Artur Nowakowski
Recent language models can successfully solve various language-related tasks, and many understand inputs stated in different languages. In this paper, we explore the performance of…
MultiSlav: Using Cross-Lingual Knowledge Transfer to Combat the Curse of Multilinguality
Artur Kot, Mikołaj Koszowski, Wojciech Chojnowski +4
Does multilingual Neural Machine Translation (NMT) lead to The Curse of the Multlinguality or provides the Cross-lingual Knowledge Transfer within a language family? In this study,…
Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation
Kamil Guttmann, Mikołaj Pokrywka, Adrian Charkiewicz +1
This paper explores Minimum Bayes Risk (MBR) decoding for self-improvement in machine translation (MT), particularly for domain adaptation and low-resource languages. We implement…
Exploring the Use of Foundation Models for Named Entity Recognition and Lemmatization Tasks in Slavic Languages
Gabriela Pałka, Artur Nowakowski
This paper describes Adam Mickiewicz University's (AMU) solution for the 4th Shared Task on SlavNER. The task involves the identification, categorization, and lemmatization of name…
Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods
Artur Nowakowski
This paper presents our contribution to the PolEval 2021 Task 2: Evaluation of translation quality assessment metrics. We describe experiments with pre-trained language models and…
Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation
Artur Nowakowski, Gabriela Pałka, Kamil Guttmann +1
This paper presents Adam Mickiewicz University's (AMU) submissions to the constrained track of the WMT 2022 General MT Task. We participated in the Ukrainian Czec…