Papers with Afrikaans language

1 papers
Adaptation of Deep Bidirectional Transformers for Afrikaans Language (2020.lrec-1)

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Challenge: Pretrained language models can be trained in unsupervised manner, but can be difficult to implement because of the amount of data and computational resources needed for pretraining.
Approach: They propose a model for Afrikaans based on bidirectional encoder representation from transformers.
Outcome: The proposed model outperforms the existing models in part-of-speech tagging, named-entity recognition, and dependency parsing tasks.

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