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Benedikt Ebing

3 accepted papers

2025

The Devil Is in the Word Alignment Details: On Translation-Based Cross-Lingual Transfer for Token Classification Tasks

ACL 2025finding

Translation-based strategies for cross-lingual transfer XLT such as translate-train—training on noisy target language data translated from the source language—and translate-test—evaluating on noisy source language data translated from the target language—are competitive XLT baselines. In XLT for tok…

2025

TransAlign: Machine Translation Encoders are Strong Word Aligners, Too

EMNLP 2025

In the absence of sizable training data for most world languages and NLP tasks, translation-based strategies such as translate-test—evaluating on noisy source language data translated from the target language—and translate-train—training on noisy target language data translated from the source langu

2024

To Translate or Not to Translate: A Systematic Investigation of Translation-Based Cross-Lingual Transfer to Low-Resource Languages

NAACL 2024long

Perfect machine translation (MT) would render cross-lingual transfer (XLT) by means of multilingual language models (mLMs) superfluous. Given, on the one hand, the large body of work on improving XLT with mLMs and, on the other hand, recent advances in massively multilingual MT, in this work, we sys…

Cited by 5SourcePDFScholar