Abstract
This work examines a case study that investigates (1) the achievability of extracting typological features from Polish texts, and (2) their contrastive power to discriminate between machine-translated texts from English. The findings indicate potential for a proposed method that deals with the explainable prediction of the source language of translated texts.
Cite
CITATION STYLE
Reijnaers, D. J. W., & Herrewijnen, E. (2023). Machine-Translated Texts from English to Polish Show a Potential for Typological Explanations in Source Language Identification. In EACL 2023 - 9th Workshop on Slavic Natural Language Processing, Proceedings of the SlavicNLP 2023 (pp. 40–46). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.bsnlp-1.6
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