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). The linguistic construal of disciplinarity: A data‐mining approach using register features. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-linguistic-construal-of-disciplinarity-a-datamining-approach-using-register-features
MLA“The linguistic construal of disciplinarity: A data‐mining approach using register features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-linguistic-construal-of-disciplinarity-a-datamining-approach-using-register-features.
BibTeX@misc{4ortxyz_the-linguistic-construal-of-disciplinarity-a-datamining-approach-using-register-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The linguistic construal of disciplinarity: A data‐mining approach using register features}}, year = {2026}, url = {https://4ort.xyz/entity/the-linguistic-construal-of-disciplinarity-a-datamining-approach-using-register-features}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The linguistic construal of disciplinarity: A data‐mining approach using register features — https://4ort.xyz/entity/the-linguistic-construal-of-disciplinarity-a-datamining-approach-using-register-features (retrieved 2026-05-24)
