ComplexityMT benchmark finds higher CEFR levels increase translation difficulty and MT systems often shift target CEFR levels versus source texts in most of six languages tested.
Alva-Manchego, R
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
HULAT2 submitted three runs to the Spanish MER-TRANS 2026 track; a LangGraph multi-agent workflow with internal quality signals achieved the best SARI score (44.05) among them, outperforming a linear regeneration baseline.
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ComplexityMT: Benchmarking the Interaction Between Text Complexity and Machine Translation
ComplexityMT benchmark finds higher CEFR levels increase translation difficulty and MT systems often shift target CEFR levels versus source texts in most of six languages tested.
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HULAT2 at MER-TRANS 2026: Governed Multi-Agent Simplification for Spanish Easy-to-Read Generation
HULAT2 submitted three runs to the Spanish MER-TRANS 2026 track; a LangGraph multi-agent workflow with internal quality signals achieved the best SARI score (44.05) among them, outperforming a linear regeneration baseline.