Learning to Write Rationally: How Information Is Distributed in Non-native Speakers’ Essays

Zixin Tang, Janet G. van Hell


Abstract
People tend to distribute information evenly in language production for better and clearer communication. In this study, we compared essays written by second language (L2) learners with various native language (L1) backgrounds to investigate how they distribute information in their non-native L2 production. Analyses of surprisal and constancy of entropy rate indicated that writers with higher L2 proficiency can reduce the expected uncertainty of language production while still conveying informative content. However, the uniformity of information distribution showed less variability among different groups of L2 speakers, suggesting that this feature may be universal in L2 essay writing and less affected by L2 writers’ variability in L1 background and L2 proficiency.
Anthology ID:
2024.emnlp-main.715
Volume:
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2024
Address:
Miami, Florida, USA
Editors:
Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
12868–12879
Language:
URL:
https://aclanthology.org/2024.emnlp-main.715/
DOI:
10.18653/v1/2024.emnlp-main.715
Bibkey:
Cite (ACL):
Zixin Tang and Janet G. van Hell. 2024. Learning to Write Rationally: How Information Is Distributed in Non-native Speakers’ Essays. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 12868–12879, Miami, Florida, USA. Association for Computational Linguistics.
Cite (Informal):
Learning to Write Rationally: How Information Is Distributed in Non-native Speakers’ Essays (Tang & van Hell, EMNLP 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.emnlp-main.715.pdf

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