Bamba Dione, CM;
Adelani, DI;
Nabende, P;
Alabi, JO;
Sindane, T;
Buzaaba, H;
Muhammad, SH;
... Klakow, D; + view all
(2023)
MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African languages.
In: Rogers, Anna and Boyd-Graber, Jordan and Okazaki, Naoaki, (eds.)
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics.
(pp. pp. 10883-10900).
Association for Computational Linguistics: Toronto, Canada.
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Abstract
In this paper, we present AfricaPOS, the largest part-of-speech (POS) dataset for 20 typologically diverse African languages. We discuss the challenges in annotating POS for these languages using the universal dependencies (UD) guidelines. We conducted extensive POS baseline experiments using both conditional random field and several multilingual pre-trained language models. We applied various cross-lingual transfer models trained with data available in the UD. Evaluating on the AfricaPOS dataset, we show that choosing the best transfer language(s) in both single-source and multi-source setups greatly improves the POS tagging performance of the target languages, in particular when combined with parameter-fine-tuning methods. Crucially, transferring knowledge from a language that matches the language family and morphosyntactic properties seems to be more effective for POS tagging in unseen languages.
| Type: | Proceedings paper |
|---|---|
| Title: | MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African languages |
| Event: | The 61st Annual Meeting of the Association for Computational Linguistics (ACL’23) |
| ISBN-13: | 978-1-959429-72-2 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.18653/v1/2023.acl-long.609 |
| Publisher version: | https://doi.org/10.18653/v1/2023.acl-long.609 |
| Language: | English |
| Additional information: | ACL materials are Copyright © 1963–2023 ACL; other materials are copyrighted by their respective copyright holders. Materials prior to 2016 here are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International License. Permission is granted to make copies for the purposes of teaching and research. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License, https://creativecommons.org/licenses/by/4.0/. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10181863 |
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