@inproceedings{32e82a3f2a7e46358d70e6067be7fadb,
title = "Exploring Mental Lexicon in an Efficient and Economic Way: Crowdsourcing Method for Linguistic Experiments",
abstract = "Mental lexicon plays a central role in human language competence and inspires the creation of new lexical resources. The traditional linguistic experiment method which is used to explore mental 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 experiments to collect Chinese word segmentation and semantic transparency data on the international crowdsourcing platforms Amazon Mechanical Turk and Crowdflower. Through this work, a framework for crowdsourcing linguistic experiments is proposed.",
author = "Shichang Wang and Huang, {Chu Ren} and Yao Yao and Angel Chan",
note = "Funding Information: The work described in this paper was supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. 544011). Publisher Copyright: {\textcopyright} 2014 Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon, CogALex 2014 at the 25th International Conference on Computational Linguistics, COLING 2014. All rights reserved.; 4th Workshop on Cognitive Aspects of the Lexicon, CogALex 2014 at the 25th International Conference on Computational Linguistics, COLING 2014 ; Conference date: 23-08-2014",
year = "2014",
language = "English",
series = "Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon, CogALex 2014 at the 25th International Conference on Computational Linguistics, COLING 2014",
publisher = "Association for Computational Linguistics (ACL)",
pages = "105--113",
editor = "Michael Zock and Reinhard Rapp and Reinhard Rapp and Chu-Ren Huang",
booktitle = "Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon, CogALex 2014 at the 25th International Conference on Computational Linguistics, COLING 2014",
}