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Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation
Research article (Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022) · cited 39× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. Retrieved May 24, 2026, from https://4ort.xyz/entity/can-transformer-be-too-compositional-analysing-idiom-processing-in-neural-machine-translation
MLA“Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/can-transformer-be-too-compositional-analysing-idiom-processing-in-neural-machine-translation.
BibTeX@misc{4ortxyz_can-transformer-be-too-compositional-analysing-idiom-processing-in-neural-machine-translation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation}}, year = {2026}, url = {https://4ort.xyz/entity/can-transformer-be-too-compositional-analysing-idiom-processing-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): Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation — https://4ort.xyz/entity/can-transformer-be-too-compositional-analysing-idiom-processing-in-neural-machine-translation (retrieved 2026-05-24)