CINO: A Chinese Minority Pre-trained Language Model

• URL: http://arxiv.org/abs/2202.13558v1
• Date: Mon, 28 Feb 2022 06:02:06 GMT
• Title: CINO: A Chinese Minority Pre-trained Language Model
• Authors: Ziqing Yang, Zihang Xu, Yiming Cui, Baoxin Wang, Min Lin, Dayong Wu, Zhigang Chen
• Abstract summary: We propose CINO (Chinese Minority Pre-trained Language Model), a multilingual pre-trained language model for Chinese minority languages. It covers Standard Chinese, Cantonese, and six other Chinese minority languages.
• Score: 30.447739293695026
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Multilingual pre-trained language models have shown impressive performance on cross-lingual tasks. It greatly facilitates the applications of natural language processing on low-resource languages. However, there are still some languages that the existing multilingual models do not perform well on. In this paper, we propose CINO (Chinese Minority Pre-trained Language Model), a multilingual pre-trained language model for Chinese minority languages. It covers Standard Chinese, Cantonese, and six other Chinese minority languages. To evaluate the cross-lingual ability of the multilingual models on the minority languages, we collect documents from Wikipedia and build a text classification dataset WCM (Wiki-Chinese-Minority). We test CINO on WCM and two other text classification tasks. Experiments show that CINO outperforms the baselines notably. The CINO model and the WCM dataset are available at http://cino.hfl-rc.com.

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