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NMTSloth: understanding and testing efficiency degradation of neural machine translation systems
Research article (Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022) · cited 20× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). NMTSloth: understanding and testing efficiency degradation of neural machine translation systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/nmtsloth-understanding-and-testing-efficiency-degradation-of-neural-machine-translation-systems
MLA“NMTSloth: understanding and testing efficiency degradation of neural machine translation systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/nmtsloth-understanding-and-testing-efficiency-degradation-of-neural-machine-translation-systems.
BibTeX@misc{4ortxyz_nmtsloth-understanding-and-testing-efficiency-degradation-of-neural-machine-translation-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{NMTSloth: understanding and testing efficiency degradation of neural machine translation systems}}, year = {2026}, url = {https://4ort.xyz/entity/nmtsloth-understanding-and-testing-efficiency-degradation-of-neural-machine-translation-systems}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): NMTSloth: understanding and testing efficiency degradation of neural machine translation systems — https://4ort.xyz/entity/nmtsloth-understanding-and-testing-efficiency-degradation-of-neural-machine-translation-systems (retrieved 2026-05-24)
