Abstract
Mandarin Alphabetical Word (MAW) is one indispensable component of Modern Chinese that demonstrates unique code-mixing idiosyncrasies influenced by language exchanges. Yet, this interesting phenomenon has not been properly addressed and is mostly excluded from the Chinese language system. This paper addresses the core problem of MAW identification and proposes to construct a large collection of MAWs from Sina Weibo (SMAW) using an automatic web-based technique which includes rule-based identification, informaticsbased extraction, as well as Baidu search engine validation. A collection of 16,207 qualified SMAWs are obtained using this technique along with an annotated corpus of more than 200,000 sentences for linguistic research and applicable inquiries
| Original language | English |
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| Title of host publication | Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing |
| Editors | Kam-Fai Wong, Kevin Knight, Hua Wu |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 833-842 |
| ISBN (Electronic) | 978-1-952148-91-0 |
| Publication status | Published - Dec 2020 |
| Event | 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing - Online Duration: 4 Dec 2020 → 7 Dec 2020 http://aacl2020.org/ |
Conference
| Conference | 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing |
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| Abbreviated title | AACL-ICJNLP |
| Period | 4/12/20 → 7/12/20 |
| Internet address |