Unsupervised Learning for Handling Code-Mixed Data: A Case Study on POS Tagging of North-African Arabizi Dialect

Abhishek Srivastavak
Abhishek Srivastavak
Benjamin Muller
Benjamin Muller

2019.

Cited by: 0|Views7

Abstract:

• Multilingual-BERT can be used to build a decent Part-of-Speech Tagger with a reasonable amount of annotated data• Unsupervised adaptation improves (+ 1) performance in downstream POS tagging

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