<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Collocation analysis can be used to extract meaningful linguistic information from large-scale corpus data. This paper reviews the methodological issues one may encounter when performing collocation analysis for discourse studies on Chinese. We propose four crucial aspects to consider in such analyses: (i) the definition of collocates according to various parameters; (ii) the choice of analysis and association measures; (iii) the definition of the search span; and (iv) the selection of corpora for analysis. To illustrate how these aspects can be addressed when applying a Chinese collocation analysis, we conducted a case study of two Chinese causal connectives: <italic>yushi</italic> ‘that is why’ and <italic>yin’er</italic> ‘as a result’. The distinctive collocation analysis shows how these two connectives differ in volitionality, an important dimension of discourse relations. The study also demonstrates that collocation analysis, as an explorative approach based on large-scale data, can provide valuable converging evidence for corpus-based studies that have been conducted with laborious manual analysis on limited datasets.</p></abstract>

Applying Collocation Analysis to Chinese Discourse: A Case Study of Causal Connectives

<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This paper explores the effectiveness of Chinese function words in register studies based on text mining and attempts to determine their register specific functions based on quantitative methods. Following the hypothesis that function words can be used as features to differentiate different registers, our text clustering experiment demonstrates that different registers in Chinese can in fact be classified in terms of distribution of function words. Our correspondence analysis shows that the correlations between function words and different registers vary, hence some function words have register-specific functions. In addition, the correlation coefficients between function words and various registers can determine the register-specific function of function words. Our quantitative model of register specific function of function words makes an important contribution to our understanding of the correlation between function words and registers.</p></abstract>

Department of Chinese and Bilingual Studies

Dept. of Foreign Languages and Literatures

Preliminary Studies on Register Function of Chinese Function Words

AHEAD OF PRINT

Volume 7 (2021): Issue 1 (January 2021)

Volume 6 (2020): Issue 1 (January 2020)

Volume 5 (2019): Issue 1 (January 2019)

Lingua sinica

 Lingua Sinica is the first international Open Access journal dedicated to the study of languages and linguistics in China, including their various social and regional dialects. It publishes high quality papers based on contemporary linguistic theories and comprehensive generalizations derived from carefully collected language data with no preference as to any particular theoretic framework. Papers written in English covering significant linguistic issues in Chinese and the languages in China are welcomed.   The first Open Access international journal devoted to the languages and linguistics of China, aiming to achieve the widest possible visibility and optimal international impact for its published research.  Publishing research articles that bridge theoretical orientations, research paradigms, and linguistic traditions.  Providing free accessibility to linguists in China and around the world to promote effective research dissemination and exchange; offers a rapid peer-reviewed process and open access publication.   The Current Open Access fee (Article-Processing Charge) for this journal is 300 Euro per article. The APC are now kindly sponsored by The Hong Kong Polytechnic University - Peking University Research Centre on Chinese Linguistics until further notice.  The journal operates a single-blind peer-review system, where the reviewers are aware of the names and affiliations of the authors, but the reviewer reports provided to the authors are anonymous.  All articles published are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers. Further information about open access can be found atwww.sciendo.com/journal/linguasinica.  As authors of articles published in Lingua Sinica you are the copyright holders of your article and have granted to any third party, in advance and in perpetuity, the right to use, reproduce or disseminate your article, according to the copyright and license agreement (www.sciendo.com/journal/linguasinica). Giving authors in their area of expertise the opportunity to publish open access   High visibility thanks to unrestricted online access  Rigorous peer-review and high-quality author services  Creative Commons licensed – authors retain copyright  Citation tracking and inclusion in bibliographic databases  Easy compliance with open access mandates   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 

Lingua sinica

Volume 6 (2020): Issue 1 (January 2020)

Applying Collocation Analysis to Chinese Discourse: A Case Study of Causal Connectives

Preliminary Studies on Register Function of Chinese Function Words

Chercher

Tous les volumes et éditions dans cette revue