7 research outputs found
Sources of Individuation in Mandarin Chinese, a Classifier language
PACLIC / The University of the Philippines Visayas Cebu College Cebu City, Philippines / November 20-22, 200
Chinese Affixes in the Internet Era: A Corpus-Based Study of X-族 zú, X-党 dǎng and X-客 kè Neologisms
In the last few decades, under the influence of foreign languages and netspeak, many word-formation patterns emerged in the Chinese lexicon. This paper proposes a corpus-based investigation of three suffixes, i.e. 族 -zú, 党 -dǎng, and 客 -kè, which build words indicating persons with certain characteristics or behavior, or doing a certain activity. The paper aims at describing and comparing the three word-formation patterns based on these suffixes. It also aims at describing their evolution over time and their grammaticalization path. In addition, it discusses the diffusion of the three patterns in Chinese and compares their productivity
Morphological productivity in Chinese [A N]: A corpus-based study
Master'sMASTER OF ART
能产性理论和汉语复合构词初探 = A STUDY ON THEORIES OF MORPHOLOGICAL PRODUCTIVITY AND CHINESE COMPOUND WORDS.
Master'sMASTER OF ART
Corpus-Based Research on Chinese Language and Linguistics
This volume collects papers presenting corpus-based research on Chinese language and linguistics, from both a synchronic and a diachronic perspective. The contributions cover different fields of linguistics, including syntax and pragmatics, semantics, morphology and the lexicon, sociolinguistics, and corpus building. There is now considerable emphasis on the reliability of linguistic data: the studies presented here are all grounded in the tenet that corpora, intended as collections of naturally occurring texts produced by a variety of speakers/writers, provide a more robust, statistically significant foundation for linguistic analysis. The volume explores not only the potential of using corpora as tools allowing access to authentic language material, but also the challenges involved in corpus interrogation, analysis, and building