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

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 4th Workshop on Cognitive Aspects of the Lexicon, CogALex 2014 at the 25th International Conference on Computational Linguistics, COLING 2014
EditorsMichael Zock, Reinhard Rapp, Reinhard Rapp, Chu-Ren Huang
PublisherAssociation for Computational Linguistics (ACL)
Pages105-113
Number of pages9
ISBN (Electronic)9781873769331
Publication statusPublished - 2014
Event4th Workshop on Cognitive Aspects of the Lexicon, CogALex 2014 at the 25th International Conference on Computational Linguistics, COLING 2014 - Dublin, Ireland
Duration: 23 Aug 2014 → …

Publication series

NameProceedings of the 4th Workshop on Cognitive Aspects of the Lexicon, CogALex 2014 at the 25th International Conference on Computational Linguistics, COLING 2014

Conference

Conference4th Workshop on Cognitive Aspects of the Lexicon, CogALex 2014 at the 25th International Conference on Computational Linguistics, COLING 2014
Country/TerritoryIreland
CityDublin
Period23/08/14 → …

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Language and Linguistics
  • Linguistics and Language

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