The Role of Emotions in Native Language Identification

Ilia Markov, Vivi Nastase, Carlo Strapparava, Grigori Sidorov


Abstract
We explore the hypothesis that emotion is one of the dimensions of language that surfaces from the native language into a second language. To check the role of emotions in native language identification (NLI), we model emotion information through polarity and emotion load features, and use document representations using these features to classify the native language of the author. The results indicate that emotion is relevant for NLI, even for high proficiency levels and across topics.
Anthology ID:
W18-6218
Volume:
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Month:
October
Year:
2018
Address:
Brussels, Belgium
Editors:
Alexandra Balahur, Saif M. Mohammad, Veronique Hoste, Roman Klinger
Venue:
WASSA
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
123–129
Language:
URL:
https://aclanthology.org/W18-6218
DOI:
10.18653/v1/W18-6218
Bibkey:
Cite (ACL):
Ilia Markov, Vivi Nastase, Carlo Strapparava, and Grigori Sidorov. 2018. The Role of Emotions in Native Language Identification. In Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 123–129, Brussels, Belgium. Association for Computational Linguistics.
Cite (Informal):
The Role of Emotions in Native Language Identification (Markov et al., WASSA 2018)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-bitext-workshop/W18-6218.pdf