Home ›
Entities
› academia
› Improving neural machine translation for low resource languages through non-parallel corpora: a case study of Egyptian dialect to modern standard Arabic translation
Improving neural machine translation for low resource languages through non-parallel corpora: a case study of Egyptian dialect to modern standard Arabic translation
Research article (Scientific Reports, 2024) · cited 28× · AI/ML
Improving neural machine translation for low resource languages through non-parallel corpora: a case study of Egyptian dialect to modern standard Arabic translation
Summary
Improving neural machine translation for low resource languages through non-parallel corpora: a case study of Egyptian dialect to modern standard Arabic translation is a scholarly article[1].
Key Facts
Improving neural machine translation for low resource languages through non-parallel corpora: a case study of Egyptian dialect to modern standard Arabic translation's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Improving neural machine translation for low resource languages through non-parallel corpora: a case study of Egyptian dialect to modern standard Arabic translation. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-neural-machine-translation-for-low-resource-languages-through-non-parallel-corpora-a-case-study-of-egyptian-di
MLA“Improving neural machine translation for low resource languages through non-parallel corpora: a case study of Egyptian dialect to modern standard Arabic translation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-neural-machine-translation-for-low-resource-languages-through-non-parallel-corpora-a-case-study-of-egyptian-di.
BibTeX@misc{4ortxyz_improving-neural-machine-translation-for-low-resource-languages-through-non-parallel-corpora-a-case-study-of-egyptian-di_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving neural machine translation for low resource languages through non-parallel corpora: a case study of Egyptian dialect to modern standard Arabic translation}}, year = {2026}, url = {https://4ort.xyz/entity/improving-neural-machine-translation-for-low-resource-languages-through-non-parallel-corpora-a-case-study-of-egyptian-di}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving neural machine translation for low resource languages through non-parallel corpora: a case study of Egyptian dialect to modern standard Arabic translation — https://4ort.xyz/entity/improving-neural-machine-translation-for-low-resource-languages-through-non-parallel-corpora-a-case-study-of-egyptian-di (retrieved 2026-05-24)