TY - JOUR
T1 - Emotion preservation in translation
T2 - 5th Conference on Digital Humanities in the Nordic Countries, DHN 2020
AU - Kajava, Kaisla
AU - Öhman, Emily
AU - Hui, Piao
AU - Tiedemann, Jörg
N1 - Publisher Copyright:
Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2020
Y1 - 2020
N2 - This paper is a pilot study that aims to explore the viability of annotation projection from one language to another as well as to evaluate the multilingual data set we have created for emotion analysis. We study different language pairs based on parallel corpora for sentiment and emotion annotations and explore annotator agreement. We show that the data source is a possible one for reliable L1 data to be used in annotation projection from high-resource languages, such as English, into low-resource languages and that this is a reliable way of creating data sets for fine-grained sentiment analysis and emotion detection.
AB - This paper is a pilot study that aims to explore the viability of annotation projection from one language to another as well as to evaluate the multilingual data set we have created for emotion analysis. We study different language pairs based on parallel corpora for sentiment and emotion annotations and explore annotator agreement. We show that the data source is a possible one for reliable L1 data to be used in annotation projection from high-resource languages, such as English, into low-resource languages and that this is a reliable way of creating data sets for fine-grained sentiment analysis and emotion detection.
KW - Annotation Projection
KW - Sentiment Analysis
KW - Translation Studies
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M3 - Conference article
AN - SCOPUS:85086072522
VL - 2612
SP - 38
EP - 50
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
Y2 - 21 October 2020 through 23 October 2020
ER -