Detailed Information on Publication Record

@inproceedings{61530,
   author = {Signoroni, Edoardo},
   address = {Brno},
   booktitle = {RASLAN 2023 Recent Advances in Slavonic Natural Language Processing},
   keywords = {machine translation;large language models;English;Silesian;evaluation;zero-shot},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Brno},
   isbn = {978-80-263-1793-7},
   pages = {145-156},
   publisher = {Tribun EU},
   title = {Fine-Grained Language Relatedness for Zero-Shot Silesian-English Translation},
   url = {https://nlp.fi.muni.cz/raslan/raslan23.pdf#page=153},
   year = {2023}
}

TY  - JOUR
ID  - 61530
AU  - Signoroni, Edoardo
PY  - 2023
TI  - Fine-Grained Language Relatedness for Zero-Shot Silesian-English Translation
PB  - Tribun EU
CY  - Brno
SN  - 9788026317937
KW  - machine translation;large language models;English;Silesian;evaluation;zero-shot
UR  - https://nlp.fi.muni.cz/raslan/raslan23.pdf#page=153
N2  - When parallel corpora are not available to train or fine-tune Machine Translation (MT) systems, one solution is to use data from a related language, and operate in a zero-shot setting. We explore the behaviour and performance of two pre-trained Large Language Models (LLMs) for zero-shot Silesian-English translation, by fine-tuning them on increasingly related languages. Our experiment shows that using data from related languages generally improves the zero-shot translation performance for our language pair, but the optimal fine-grained choice inside the Slavic language family is non-trivial and depends on the model characteristics.
ER  - 

SIGNORONI, Edoardo. Fine-Grained Language Relatedness for Zero-Shot Silesian-English Translation. In \textit{RASLAN 2023 Recent Advances in Slavonic Natural Language Processing}. Brno: Tribun EU, 2023, p.~145-156. ISBN~978-80-263-1793-7.