@inproceedings{brigada-villa-giarda-2023-using,
title = "Using Modern Languages to Parse Ancient Ones: a Test on {O}ld {E}nglish",
author = "Brigada Villa, Luca and
Giarda, Martina",
editor = "Beinborn, Lisa and
Goswami, Koustava and
Murado{\u{g}}lu, Saliha and
Sorokin, Alexey and
Kumar, Ritesh and
Shcherbakov, Andreas and
Ponti, Edoardo M. and
Cotterell, Ryan and
Vylomova, Ekaterina",
booktitle = "Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP",
month = may,
year = "2023",
address = "Dubrovnik, Croatia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.sigtyp-1.4",
doi = "10.18653/v1/2023.sigtyp-1.4",
pages = "30--41",
abstract = "In this paper we test the parsing performances of a multilingual parser on Old English data using different sets of languages, alone and combined with the target language, to train the models. We compare the results obtained by the models and we analyze more in deep the annotation of some peculiar syntactic constructions of the target language, providing plausible linguistic explanations of the errors made even by the best performing models.",
}
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<abstract>In this paper we test the parsing performances of a multilingual parser on Old English data using different sets of languages, alone and combined with the target language, to train the models. We compare the results obtained by the models and we analyze more in deep the annotation of some peculiar syntactic constructions of the target language, providing plausible linguistic explanations of the errors made even by the best performing models.</abstract>
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%0 Conference Proceedings
%T Using Modern Languages to Parse Ancient Ones: a Test on Old English
%A Brigada Villa, Luca
%A Giarda, Martina
%Y Beinborn, Lisa
%Y Goswami, Koustava
%Y Muradoğlu, Saliha
%Y Sorokin, Alexey
%Y Kumar, Ritesh
%Y Shcherbakov, Andreas
%Y Ponti, Edoardo M.
%Y Cotterell, Ryan
%Y Vylomova, Ekaterina
%S Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP
%D 2023
%8 May
%I Association for Computational Linguistics
%C Dubrovnik, Croatia
%F brigada-villa-giarda-2023-using
%X In this paper we test the parsing performances of a multilingual parser on Old English data using different sets of languages, alone and combined with the target language, to train the models. We compare the results obtained by the models and we analyze more in deep the annotation of some peculiar syntactic constructions of the target language, providing plausible linguistic explanations of the errors made even by the best performing models.
%R 10.18653/v1/2023.sigtyp-1.4
%U https://aclanthology.org/2023.sigtyp-1.4
%U https://doi.org/10.18653/v1/2023.sigtyp-1.4
%P 30-41
Markdown (Informal)
[Using Modern Languages to Parse Ancient Ones: a Test on Old English](https://aclanthology.org/2023.sigtyp-1.4) (Brigada Villa & Giarda, SIGTYP 2023)
ACL