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2023 EACL EACL 2023

Machine-translated texts from English to Polish show a potential for typological explanations in Source Language Identification

Abstract

AbstractThis 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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Interdisciplinary and Natural Language Processing

Authors

Damiaan Reijnaers, Elize Herrewijnen

Topics

Natural Language Processing > Applications > Machine Translation Natural Language Processing > Applications > Text Classification Natural Language Processing > Resources & Methods > Multilingual NLP Interdisciplinary > Linguistics > Computational Linguistics Machine Learning > Learning Types > Transfer Learning

Keywords

transfer learning machine translation computational linguistics typological feature language classification source language identification

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