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  4. Evaluation of QWEN-3 for English to Ukrainian Translation
 
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2025
Conference Paper
Title

Evaluation of QWEN-3 for English to Ukrainian Translation

Abstract
We report the results of evaluating Qwen3 for the English-to-Ukrainian language pair of the general MT task of WMT 2025. In addition to the quantitative evaluation, we performed a qualitative evaluation, in collaboration with a native Ukrainian speaker - therefore we present an example-heavy analysis of the typical failures the LLMs still do when translating natural language, particularly into Ukrainian. We report also on the practicalities of using LLMs, such as on the difficulties of making them follow instructions, on ways to exploit the increased "smartness" of the reasoning models while simultaneously avoiding the reasoning part improperly interfering with the chain in which the LLM is just one element.
Author(s)
Grozea, Cristian  
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Verbitsky, Oleg
Mainwork
WMT 2025, The Tenth Conference on Machine Translation. Proceedings  
Conference
Conference on Machine Translation 2025  
Conference on Empirical Methods in Natural Language Processing 2025  
Open Access
DOI
10.18653/v1/2025.wmt-1.34
Additional link
Full text
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Keyword(s)
  • Computational linguistics

  • Natural language processing systems

  • Language pairs

  • Qualitative evaluations

  • Quantitative evaluation

  • Reasoning models

  • Typical failures

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