It is conventional wisdom in machine learning and data mining that logical models such as rule sets are more interpretable than other models, and that among such rule-based models …
Semantic relatedness between words is a core concept in natural language processing. While countless approaches have been proposed, measuring which one works best is still a …
Crowdsourcing platforms are commonly used for research in the humanities, social sciences and informatics, including the use of crowdworkers to annotate textual material or visuals …
The use of crowdsourcing platforms for data collection in HCI research is attractive in their ability to provide rapid access to large and diverse participant samples. As a result, several …
Z Chen, Y Xu, Z Xie - Journal of East Asian Linguistics, 2020 - Springer
The informal judgments of the well-formedness of phrases and sentences have long been used as the primary data source for syntacticians. In recent years, the reliability of data …
M Austen - Journal of Linguistic Geography, 2020 - cambridge.org
This study presents the first US-wide survey of the pin-pen merger since Labov, Ash & Boberg (2006). Production and perception data were collected from 277 speakers from …
In this paper we evaluate how to effectively use the crowdsourcing service, Amazon's Mechanical Turk (MTurk), to content analyze textual data for use in psychological research …
S Wang, CR Huang, Y Yao, A Chan - Language and Linguistics, 2019 - jbe-platform.com
Semantic transparency deals with the interface between lexical semantics and morphology. It is an important linguistic phenomenon in Chinese in the context of prediction of meanings …
CR Huang, N Xue - The Routledge handbook of Chinese applied …, 2019 - taylorfrancis.com
The availability of digital language resources is the essential pre-requisite for both computational and corpus linguistics. In addition, as human communication becomes …