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Main Authors: Lian, Da-Chen, Hsieh, Shu-Kai
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2411.10955
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author Lian, Da-Chen
Hsieh, Shu-Kai
author_facet Lian, Da-Chen
Hsieh, Shu-Kai
contents This study aims to fill the gap by constructing a topic-aware comparable corpus of Mainland Chinese Mandarin and Taiwanese Mandarin from the social media in Mainland China and Taiwan, respectively. Using Dcard for Taiwanese Mandarin and Sina Weibo for Mainland Chinese, we create a comparable corpus that updates regularly and reflects modern language use on social media.
format Preprint
id arxiv_https___arxiv_org_abs_2411_10955
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Topic-aware Comparable Corpus of Chinese Variations
Lian, Da-Chen
Hsieh, Shu-Kai
Computation and Language
This study aims to fill the gap by constructing a topic-aware comparable corpus of Mainland Chinese Mandarin and Taiwanese Mandarin from the social media in Mainland China and Taiwan, respectively. Using Dcard for Taiwanese Mandarin and Sina Weibo for Mainland Chinese, we create a comparable corpus that updates regularly and reflects modern language use on social media.
title A Topic-aware Comparable Corpus of Chinese Variations
topic Computation and Language
url https://arxiv.org/abs/2411.10955