Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models

Research article (Arrow@dit (Dublin Institute of Technology), 2019) · cited 13× · AI/ML
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Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models

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Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-rule-based-machine-translation-knowledge-for-under-resourced-neural-machine-translation-models
MLA “Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-rule-based-machine-translation-knowledge-for-under-resourced-neural-machine-translation-models.
BibTeX @misc{4ortxyz_leveraging-rule-based-machine-translation-knowledge-for-under-resourced-neural-machine-translation-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-rule-based-machine-translation-knowledge-for-under-resourced-neural-machine-translation-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models — https://4ort.xyz/entity/leveraging-rule-based-machine-translation-knowledge-for-under-resourced-neural-machine-translation-models (retrieved 2026-05-24)

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