Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Guanjie Hu

Biographic Data

ID10955809
NAMEGuanjie Hu
GIVEN NAMESGuanjie
FAMILY NAMEHu
SIGNATUREHU G
AFFILIATIONSDigital Science (United States)
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • A Corpus-Based Judicial Vocabulary List

    Open Access•Guangquan Hu, Guanjie Hu et al.•ARTICLE•SAGE Open•2025

    This study develops a Judicial Vocabulary List (JVL) based on the United States Supreme Court Decision Corpus (SCDC) from 1999 to 2023, addressing the lack of specialized vocabulary resources for legal English. Using Python, we analyzed the SCDC through statistical measures such as normalized frequency, range ratio, dispersion, and frequency ratio to identify high-frequency lemmas. The final JVL comprises 943 lemmas, primarily nouns, verbs, adjec…

No prominent works on this page.

  • A Corpus-Based Judicial Vocabulary List

    Open Access•Guangquan Hu, Guanjie Hu et al.•ARTICLE•SAGE Open•2025

    This study develops a Judicial Vocabulary List (JVL) based on the United States Supreme Court Decision Corpus (SCDC) from 1999 to 2023, addressing the lack of specialized vocabulary resources for legal English. Using Python, we analyzed the SCDC through statistical measures such as normalized frequency, range ratio, dispersion, and frequency ratio to identify high-frequency lemmas. The final JVL comprises 943 lemmas, primarily nouns, verbs, adjec…

Artificial Intelligence in Law (1 work) · Controlled vocabulary (1 work) · Corpus linguistics (1 work) · Judicial opinion (1 work) · Jurisprudence (1 work) · Legal Language and Interpretation (1 work) · Legal research (1 work) · Legal writing (1 work) · Natural Language Processing Techniques (1 work) · Supreme court (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae