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Measuring and Improving Faithfulness of Attention in Neural Machine Translation
Research article (Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021) · cited 13× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Measuring and Improving Faithfulness of Attention in Neural Machine Translation. Retrieved May 24, 2026, from https://4ort.xyz/entity/measuring-and-improving-faithfulness-of-attention-in-neural-machine-translation
MLA“Measuring and Improving Faithfulness of Attention in Neural Machine Translation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/measuring-and-improving-faithfulness-of-attention-in-neural-machine-translation.
BibTeX@misc{4ortxyz_measuring-and-improving-faithfulness-of-attention-in-neural-machine-translation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Measuring and Improving Faithfulness of Attention in Neural Machine Translation}}, year = {2026}, url = {https://4ort.xyz/entity/measuring-and-improving-faithfulness-of-attention-in-neural-machine-translation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Measuring and Improving Faithfulness of Attention in Neural Machine Translation — https://4ort.xyz/entity/measuring-and-improving-faithfulness-of-attention-in-neural-machine-translation (retrieved 2026-05-24)
