Toxicity Detection in Finnish Using Machine Translation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A9IMWTVHD" target="_blank" >RIV/00216208:11320/23:9IMWTVHD - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2023.nodalida-1.68/" target="_blank" >https://aclanthology.org/2023.nodalida-1.68/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Toxicity Detection in Finnish Using Machine Translation

Original language description

"In this paper, we present novel resources for toxicity detection in Finnish by introducing two new datasets, a machine translated toxicity dataset for Finnish based on the widely used English Jigsaw dataset and a smaller test set of Suomi24 discussion forum comments originally written in Finnish and manually annotated following the definitions of the labels that were used to annotate the Jigsaw dataset. We show that machine translating the training data to Finnish provides better toxicity detection results than using the original English training data and zero-shot cross-lingual transfer with XLM-R, even with our newly annotated dataset from Suomi24."

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

"Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)"

ISBN

978-99-1621-999-7

ISSN

1736-8197

e-ISSN

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Number of pages

13

Pages from-to

685-697

Publisher name

""

Place of publication

Tórshavn, Faroe Islands

Event location

Tórshavn, Faroe Islands

Event date

Jan 1, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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