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Does 'well-being' translate on Twitter?

  • Laura K. Smith
  • , Salvatore Giorgi
  • , Rishi Solanki
  • , Johannes C. Eichstaedt
  • , H. Andrew Schwartz
  • , Muhammad Abdul-Mageed
  • , Anneke Buffone
  • , Lyle H. Ungar
  • University of Pennsylvania
  • University of British Columbia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

We investigate whether psychological well-being translates across English and Spanish Twitter, by building and comparing source language and automatically translated weighted lexica in English and Spanish. We find that the source language models perform substantially better than the machine translated versions. Moreover, manually correcting translation errors does not improve model performance, suggesting that meaningful cultural information is being lost in translation. Further work is needed to clarify when automatic translation of well-being lexica is effective and how it can be improved for cross-cultural analysis.

Original languageEnglish
Title of host publicationEMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings
PublisherAssociation for Computational Linguistics (ACL)
Pages2042-2047
Number of pages6
ISBN (Electronic)9781945626258
DOIs
StatePublished - 2016
Event2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016 - Austin, United States
Duration: Nov 1 2016Nov 5 2016

Publication series

NameEMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings

Conference

Conference2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016
Country/TerritoryUnited States
CityAustin
Period11/1/1611/5/16

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