2025
EMNLP
EMNLP 2025
Evaluation of QWEN-3 for English to Ukrainian Translation
Abstract
AbstractWe 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.
🌉
Interdisciplinary Bridge
— Deep Learning and Natural Language Processing
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Natural Language Processing > Applications > Machine Translation
Natural Language Processing > Resources & Methods > Large Language Models
Natural Language Processing > Resources & Methods > Multilingual NLP
Natural Language Processing > Generation > Machine Translation
Deep Learning > Models > Large Language Models