AI RESEARCH
On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation
arXiv CS.CL
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ArXi:2601.13729v2 Announce Type: replace In recent years, the non-deterministic properties of language models have garnered considerable attention and have shown a significant influence on real-world applications. However, such properties remain under-explored in machine translation (MT), a complex, non-deterministic NLP task. In this study, we systematically evaluate modern MT systems and identify temperature-constrained Non-Deterministic MT (ND-MT) as a distinct phenomenon.