Sina Mandarin Alphabetical Words:A Web-driven Code-mixing Lexical Resource

264

Authors

nan

Abstract

AbstractMandarin 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, informatics-based 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.

Keywords

nan

Full Content

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, pages 833–842 December 4 - 7, 2020. c⃝2020 Association for Computational Linguistics 833 Sina Mandarin Alphabetical Words: A Web-driven Code-mixing Lexical Resource Rong Xiang1, Mingyu Wan12, Qi Su2, Chu-Ren Huang1, Qin Lu1 1The Hong Kong Polytechnic University, 11 Yuk Choi Road, Hong Kong (China) csrxiang,csluqin@comp.polyu.edu.hk, churen.huang@polyu.edu.hk 2Peking University, 5 Yiheyuan Road, Beijing (China) wanmy, sukia@pku.edu.cn Abstract Mandarin Alphabetical Word (MAW) is one indispensable component of Modern Chinese that demonstrates unique code-mixing idiosyn- crasies influenced by language exchanges. Yet, this interesting phenomenon has not been prop- erly addressed and is mostly excluded from the Chinese language system. This paper ad- dresses the core problem of MAW identifica- tion and proposes to construct a large collec- tion of MAWs from Sina Weibo (SMAW) us- ing an automatic web-based technique which includes rule-based identification, informatics- based extraction, as well as Baidu search en- gine validation. A collection of 16,207 quali- fied SMAWs are obtained using this technique along with an annotated corpus of more than 200,000 sentences for linguistic research and applicable inquiries. 1 Introduction Mandarin Alphabetic Words (MAWs), also known as lettered words (Liu, 1994) or code-mixing words (Nguyen and Cornips, 2016), are usually formed by Latin, Greek, Arabic alphabets in com- bination with Chinese characters, e.g. “X-光/X射 线”, X-ray. Although pure alphabets (e.g. “NBA”) used in Chinese context have also been regarded as MAWs in some previous work (Liu, 1994; Huang and Liu, 2017), they are more like switching-codes that retain the orthography and linguistic behav- iors of the original language, instead of showing typical Chinese lexical characteristics. It is note- worthy that MAWs shall be taken as a code-mixing phenomenon instead of code-switching as a MAW is still a Chinese word which is not switched into another language. Therefore, in this work, MAWS refer to the combined type which encodes both al- phabet(s) and Chinese character(s) in one word, such as “A型”, A-type, “PO主”, post owner, and “γ线”, Gamma Ray. It is linguistically-interesting and applicably- significant to investigate MAWs due to two main reasons. First, A MAW maintains part of the Chinese characteristics in morphology, phonology and orthography (e.g. “PK过", player killed, past tense). Meanwhile, it also demonstrates some prop- erties of the foreigner language (e.g. “维生素ing", supplementing Vitamin, progressive)), providing a unique lexical resource for studying morpho- phonological idiosyncrasies of code-mixing words. Second, MAWs serve as an indispensable part of people’s daily vocabulary, especially under the rapid development of social media communication. Yet, being out-liars of the Chinese lexicon, they can cause problems to existing word segmentation/new word extraction tools that are trained on traditional words (Chen and Liu, 1992; Xue and Shen, 2003). Consider the following example: E1: PO主 主 主也不知道链接被吞了 (The post owner didn’t know that the link has been hacked off) Seg: PO/主 主 主/也/不/知道/链接/被/吞/了 Golden Seg: PO主 主 主/也/不/知道/链接/被/吞/了 The sentence in E1 (example 1) is segmented using Stanford Parser …

Content truncated to 500 words

Labeled Text

AbstractMandarin 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, informatics-based 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.

Publication Details

Paper ID:
264
Year:
2020
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan