Data · dataset · 2026
Computational Distributional Profiling
Listed in Teesside University Research Data Repository
These files are derived analytical outputs generated from the computational profiling of the English Nursery Rhymes corpus.
Description
They do not modify the original Kaggle dataset, but provide processed analytical results, including token frequency, word dispersion, concordance/KWIC records, collocation statistics, and a sample distribution of the token little. Together, these files provide structured evidence for assessing whether the corpus reflects key characteristics of children’s song lyrics, particularly lexical repetition, word distribution, and local word associations.
The files can be reused for corpus linguistics, computational text analysis, educational language research, and comparative nursery rhyme studies.
Links
Where it is published
- DOI doi.org/10.17632/ywrgs9wgcz.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computational linguistics · Computer Science & AI · Corpus linguistics · Earth & Environmental Science · Humanities · Natural language processing
- Inferred from text
- Text 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/ywrgs9wgcz.1 | 12 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:460208 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Natural Language Processing'] |
| concepts[field].anzsrc:field:470403 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computational Linguistics'] |
| concepts[field].anzsrc:field:470404 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Corpus Linguistics'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |