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May 16, 2025 -
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Adobe PDF - 132.2 KB -
MD5: 244635960f5adfc3c446e928f4c3cad3
User_manual.pdf |
May 16, 2025 -
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Python Source Code - 34.1 KB -
MD5: 4c88d8345636389baa91f2355e23cbf9
winpython_nlp_2713_CE-SDG_round2_0.py |
May 16, 2025 -
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Plain Text - 34.1 KB -
MD5: 4c88d8345636389baa91f2355e23cbf9
winpython_nlp_2713_CE-SDG_round2_0.txt |
May 16, 2025 -
Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)
Adobe PDF - 39.3 KB -
MD5: 94d3d8ebbe463b7813ec0be2f4528ac9
Content_list.pdf |
May 16, 2025 -
Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)
Adobe PDF - 31.4 KB -
MD5: fab9666ccfe4af7c92d879ed02283148
Cover.pdf |
May 9, 2025 - TROLLing
Claassen, Simon; Enghels, Renata; Parafita Couto, M. Carmen, 2025, "Replication Data for: Intensification strategies in English-Spanish bilingual speech: Examining lexical and morphological markers in Miami bilinguals’ discourse", https://doi.org/10.18710/KZ5JKJ, DataverseNO, V1
Dataset abstract This dataset contains the three data files that the related publication is based on. In total, they contain 3000+ tokens of intensifying constructions. These constructions were extracted from the Miami Corpus, the Santa Barbara Corpus (specifically a subsample of the corpus containing all conversations involving non-Hispanic speake... |
Plain Text - 11.3 KB -
MD5: 45b5478f859f5a2115898daf122c9da0
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Comma Separated Values - 28.8 KB -
MD5: 18794ccb24cf500be18986b669ab014b
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MD5: 30fc7ab7a1a754ba81217b59a9902898
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Comma Separated Values - 55.4 KB -
MD5: 8fe3491490fffe41915b0c262a06c9ff
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