1 |
Multilingual Language Model Adaptive Fine-Tuning: A Study on African Languages ...
|
|
|
|
Abstract:
Multilingual pre-trained language models (PLMs) have demonstrated impressive performance on several downstream tasks on both high resourced and low-resourced languages. However, there is still a large performance drop for languages unseen during pre-training, especially African languages. One of the most effective approaches to adapt to a new language is language adaptive fine-tuning (LAFT) -- fine-tuning a multilingual PLM on monolingual texts of a language using the same pre-training objective. However, African languages with large monolingual texts are few, and adapting to each of them individually takes large disk space and limits the cross-lingual transfer abilities of the resulting models because they have been specialized for a single language. In this paper, we perform multilingual adaptive fine-tuning (MAFT) on 17 most-resourced African languages and three other high-resource languages widely spoken on the African continent -- English, French, and Arabic to encourage cross-lingual transfer learning. ... : Accepted to AfricaNLP 2022 (non-archival) ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://arxiv.org/abs/2204.06487 https://dx.doi.org/10.48550/arxiv.2204.06487
|
|
BASE
|
|
Hide details
|
|
2 |
MasakhaNER: Named entity recognition for African languages
|
|
|
|
In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03350962 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2021, ⟨10.1162/tacl⟩ (2021)
|
|
BASE
|
|
Show details
|
|
3 |
The effect of domain and diacritics in Yorùbá-English neural machine translation
|
|
|
|
In: 18th Biennial Machine Translation Summit ; https://hal.inria.fr/hal-03350967 ; 18th Biennial Machine Translation Summit, Aug 2021, Orlando, United States (2021)
|
|
BASE
|
|
Show details
|
|
4 |
The Effect of Domain and Diacritics in Yorùbá-English Neural Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Transfer learning and distant supervision for multilingual Transformer models: A study on African languages
|
|
|
|
In: 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ; https://hal.inria.fr/hal-03350901 ; 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2020, Punta Cana, Dominica (2020)
|
|
BASE
|
|
Show details
|
|
7 |
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yorùbá and Twi ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|