Paper: Exploring Mental Lexicon in an Efficient and Economic Way: Crowdsourcing Method for Linguistic Experiments

ACL ID W14-4715
Title Exploring Mental Lexicon in an Efficient and Economic Way: Crowdsourcing Method for Linguistic Experiments
Venue Workshop on Cognitive Aspects of the Lexicon
Session
Year 2014
Authors

Mental lexicon plays a central role in human language competence and inspires the creation of new lexical resources. The traditional linguistic experiment methodwhich is used to exploremen- tal lexicon has some disadvantages. Crowdsourcing has become a promising method to conduct linguistic experiments which enables us to explore mental lexicon in an efficient and economic way. We focus on the feasibility and quality control issues of conducting Chinese linguistic ex- periments to collect Chinese word segmentation and semantic transparency data on the interna- tional crowdsourcing platforms Amazon Mechanical Turk and Crowdflower. Through this work, a framework for crowdsourcing linguistic experiments is proposed.