Masaryk University

Publication Records

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    2022

    1. SIGNORONI, Edoardo and Pavel RYCHLÝ. HFT: High Frequency Tokens for Low-Resource NMT. Online. 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, p. 56-63. ISSN 2951-2093.
    2. SIGNORONI, Edoardo and Pavel RYCHLÝ. MUNI-NLP Systems for Lower Sorbian-German and Lower Sorbian-Upper Sorbian Machine Translation @ WMT22. Online. In Proceedings of the Seventh Conference on Machine Translation. Abu Dhabi: Association for Computational Linguistics, 2022, p. 1111-1116. ISBN 978-1-959429-29-6.
    3. 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, p. 105-112. ISBN 978-80-263-1752-4.
    4. SIGNORONI, Edoardo, Elisabetta JEZEK and 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, vol. 8, No 2, p. 39-62. ISSN 2499-4553. Available from: https://dx.doi.org/10.4000/ijcol.1076.

    2021

    1. 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, p. 115-124. ISBN 978-80-263-1670-1.

    2019

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