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From rule-based models to deep learning transformers architectures for natural language processing and sign language translation systems: survey, taxonomy and performance evaluation
From rule-based models to deep learning transformers architectures for natural language processing and sign language translation systems: survey, taxonomy and performance evaluation
Summary
From rule-based models to deep learning transformers architectures for natural language processing and sign language translation systems: survey, taxonomy and performance evaluation is a scholarly article[1].
Key Facts
From rule-based models to deep learning transformers architectures for natural language processing and sign language translation systems: survey, taxonomy and performance evaluation's instance of is recorded as scholarly article[2].
References
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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). From rule-based models to deep learning transformers architectures for natural language processing and sign language translation systems: survey, taxonomy and performance evaluation. Retrieved May 24, 2026, from https://4ort.xyz/entity/from-rule-based-models-to-deep-learning-transformers-architectures-for-natural-language-processing-and-sign-language-tra
MLA“From rule-based models to deep learning transformers architectures for natural language processing and sign language translation systems: survey, taxonomy and performance evaluation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/from-rule-based-models-to-deep-learning-transformers-architectures-for-natural-language-processing-and-sign-language-tra.
BibTeX@misc{4ortxyz_from-rule-based-models-to-deep-learning-transformers-architectures-for-natural-language-processing-and-sign-language-tra_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{From rule-based models to deep learning transformers architectures for natural language processing and sign language translation systems: survey, taxonomy and performance evaluation}}, year = {2026}, url = {https://4ort.xyz/entity/from-rule-based-models-to-deep-learning-transformers-architectures-for-natural-language-processing-and-sign-language-tra}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): From rule-based models to deep learning transformers architectures for natural language processing and sign language translation systems: survey, taxonomy and performance evaluation — https://4ort.xyz/entity/from-rule-based-models-to-deep-learning-transformers-architectures-for-natural-language-processing-and-sign-language-tra (retrieved 2026-05-24)
