摘要
Worldlikeness, hosted online at https://worldlikeness.org, is a free Web crowdsourcing experimental tool and database that seeks to make it easier to generate and share cross-linguistic processing data. Adopting HTML5 technology and a responsive Web design using the JavaScript-based Meteor package, Worldlikeness supports the use of text and multimedia stimuli in a user interface optimized for participants using either desktops or mobile devices. Worldlikeness allows individual psycholinguists to collect data on individual languages, store the data in theWorldlikeness server, and share them to help build a cross-linguistic database. As the database grows, outside researchers can freely conduct their own typological cross-linguistic analyses and contribute to our understanding of language-specific and universal properties of language processing. In this paper, we introduce the key features of Worldlikeness and compare online wordlikeness judgments to in-lab data to demonstrate its reliability.