Building a Semantic Transparency Dataset of Chinese Nominal Compounds: A Practice of Crowdsourcing Methodology
Shichang Wang, Chu‐Ren Huang, Yao Yao, Angel Chan · 2014
This paper describes the work which aimed to create a semantic transparency dataset of Chinese nominal compounds (SemTransCNC 1.0) by crowdsourcing methodology.We firstly selected about 1,200 Chinese nominal compounds from a lexicon of modern Chinese and the Sinica Corpus.Then through a series of crowdsourcing experiments conducted on the Crowdflower platform, we successfully collected both overall semantic transparency and constituent semantic transparency data for each of them.According to our evaluation, the data quality is good.This work filled a gap in Chinese language resources and also practiced and explored the crowdsourcing methodology for linguistic experiment and language resource construction.