Masarykova univerzita

Výpis publikací

2022

HFT: High Frequency Tokens for Low-Resource NMT

SIGNORONI, Edoardo a Pavel RYCHLÝ. HFT: High Frequency Tokens for Low-Resource NMT. In Atul Kr. Ojha, Chao-Hong Liu, Ekaterina Vylomova, Jade Abbott, Jonathan Washington, Nathaniel Oco, Tommi A Pirinen, Valentin Malykh, Varvara Logacheva, Xiaobing Zhao. Proceedings of the Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2022). Gyeongju, Republic of Korea: Association for Computational Linguistics, 2022. s. 56-63. ISSN 2951-2093.

Podrobněji: https://is.muni.cz/publication/2227162/cs

MUNI-NLP Systems for Lower Sorbian-German and Lower Sorbian-Upper Sorbian Machine Translation @ WMT22

SIGNORONI, Edoardo a Pavel RYCHLÝ. MUNI-NLP Systems for Lower Sorbian-German and Lower Sorbian-Upper Sorbian Machine Translation @ WMT22. In Proceedings of the Seventh Conference on Machine Translation. Abu Dhabi: Association for Computational Linguistics, 2022. s. 1111-1116. ISBN 978-1-959429-29-6.

Podrobněji: https://is.muni.cz/publication/2239287/cs

Piötòst Ché Niènt, Mèi Piötòst - A Manually Revised Lombard-Italian Parallel Corpus

SIGNORONI, Edoardo. Piötòst Ché Niènt, Mèi Piötòst - A Manually Revised Lombard-Italian Parallel Corpus. In Aleš Horák, Pavel Rychlý, Adam Rambousek. Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022. Brno: Tribun EU, 2022. s. 105-112. ISBN 978-80-263-1752-4.

Podrobněji: https://is.muni.cz/publication/2240141/cs

Word Usage Change and the Pandemic: A Computational Analysis of Short-Term Usage Change in the Italian Reddit Community

SIGNORONI, Edoardo, Elisabetta JEZEK a Rachele SPRUGNOLI. Word Usage Change and the Pandemic: A Computational Analysis of Short-Term Usage Change in the Italian Reddit Community. IJCoL. Italian Journal of Computational Linguistics. Accademia University Press, 2022, roč. 8, č. 2, s. 39-62. ISSN 2499-4553. doi:10.4000/ijcol.1076.

Podrobněji: https://is.muni.cz/publication/2263657/cs

2021

Evaluating the State-of-the-Art Sentence Alignment System on Literary Texts

SIGNORONI, Edoardo. Evaluating the State-of-the-Art Sentence Alignment System on Literary Texts. In Horák, Rychlý, Rambousek. Recent Advances in Slavonic Natural Language Processing (RASLAN 2021). Brno: Tribun EU, 2021. s. 115-124. ISBN 978-80-263-1670-1.

Podrobněji: https://is.muni.cz/publication/1809760/cs

2019

Nunc Est Aestimandum: Towards an Evaluation of the Latin WordNet.

FRANZINI, Greta, Andrea PEVERELLI, Paolo RUFFOLO, Marco PASSAROTTI, Helena SANNA, Edoardo SIGNORONI, Viviana VENTURA a Federica ZAMPEDRI. Nunc Est Aestimandum: Towards an Evaluation of the Latin WordNet. CEUR-WS.org, 2019. ISSN 1613-0073.

Podrobněji: https://is.muni.cz/publication/2247848/cs