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Investigating the potential of NLP-driven linguistic and acoustic features for predicting human scores of children’s oral language proficiency
Research article (Assessment in Education Principles Policy and Practice, 2021) · cited 10× · AI/ML
Investigating the potential of NLP-driven linguistic and acoustic features for predicting human scores of children’s oral language proficiency
Summary
Investigating the potential of NLP-driven linguistic and acoustic features for predicting human scores of children’s oral language proficiency is a scholarly article[1].
Key Facts
Investigating the potential of NLP-driven linguistic and acoustic features for predicting human scores of children’s oral language proficiency'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). Investigating the potential of NLP-driven linguistic and acoustic features for predicting human scores of children’s oral language proficiency. Retrieved May 24, 2026, from https://4ort.xyz/entity/investigating-the-potential-of-nlp-driven-linguistic-and-acoustic-features-for-predicting-human-scores-of-childrens-oral
MLA“Investigating the potential of NLP-driven linguistic and acoustic features for predicting human scores of children’s oral language proficiency.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/investigating-the-potential-of-nlp-driven-linguistic-and-acoustic-features-for-predicting-human-scores-of-childrens-oral.
BibTeX@misc{4ortxyz_investigating-the-potential-of-nlp-driven-linguistic-and-acoustic-features-for-predicting-human-scores-of-childrens-oral_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Investigating the potential of NLP-driven linguistic and acoustic features for predicting human scores of children’s oral language proficiency}}, year = {2026}, url = {https://4ort.xyz/entity/investigating-the-potential-of-nlp-driven-linguistic-and-acoustic-features-for-predicting-human-scores-of-childrens-oral}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Investigating the potential of NLP-driven linguistic and acoustic features for predicting human scores of children’s oral language proficiency — https://4ort.xyz/entity/investigating-the-potential-of-nlp-driven-linguistic-and-acoustic-features-for-predicting-human-scores-of-childrens-oral (retrieved 2026-05-24)
