Sentence recall game: A novel tool for collecting data to discover language usage patterns

Jun Wang, Bei Yu

Research output: Chapter in Book/Entry/PoemConference contribution

2 Scopus citations

Abstract

Recently we ran a simple memory test experiment, called sentence recall, in which participants were asked to recall sentences that they had just seen on the screen. Many participants, especially non-native English speakers, made various deviations in their recalled sentences. Some deviations represent alternative ways to express the same meaning, but others suggest that there are missing pieces in the participants' language knowledge. The deviation data, on the one hand, can provide individual users valuable feedback on their language usage patterns that they may never notice, on the other hand, can be used as training data for automatically discovering language usage patterns in a subpopulation of language learners. This paper presents our attempts to create an enjoyable sentence recall game for collecting a large amount of deviation data. Our results show that the game is fun to play and the collected deviation data can reveal common language usage patterns among non-native speakers.

Original languageEnglish (US)
Title of host publicationWorkshop Proceedings - Human Computation Workshop 2010, HCOMP2010
Pages56-59
Number of pages4
DOIs
StatePublished - 2010
EventHuman Computation Workshop 2010, HCOMP2010 - Washington, DC, United States
Duration: Jul 25 2010Jul 25 2010

Publication series

NameWorkshop Proceedings - Human Computation Workshop 2010, HCOMP2010

Other

OtherHuman Computation Workshop 2010, HCOMP2010
Country/TerritoryUnited States
CityWashington, DC
Period7/25/107/25/10

Keywords

  • Computerassisted language learning
  • Educational gaming
  • Games with a purpose
  • Human computation
  • Language and memory

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Human-Computer Interaction

Fingerprint

Dive into the research topics of 'Sentence recall game: A novel tool for collecting data to discover language usage patterns'. Together they form a unique fingerprint.

Cite this