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University of Technology Nuremberg
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Historical language change is not only multidimensional but also varies significantly in timing and direction across languages, challenging existing paradigms in linguistic research.
Communities clash over machine translation, revealing a stark divide between technical benchmarks and user-centric concerns like trust and quality.
Annotation reporting in NLP is improving, but critical details that affect validity are still frequently overlooked, especially in model evaluations.
