QuantitativeCriticismLab

Pinned Repositories

AJP-2022-Senecan-Trimeter
This repository includes the data and code relevant to the Fedchin, Burns, Chaudhuri, and Dexter article for AJP
Language:Python1 3 00
ancient_greek_genre_classification
"Stylometric Classification of Ancient Greek Literary Texts by Genre" LaTeCH-CLfL 2019
Language:HTML1 5 01
dhbme
QCL Digital Humanities Beyond Modern English Conference Site
Language:CSS0 4 00
DHBME2
Site for Digital Humanities Beyond Modern English 2022 conference
Language:CSS0 0 00
LaTeCH-CLfL-2019-GreekClassification
Replication code for Gianitsos et al., "Stylometric Classification of Ancient Greek Literary Texts by Genre", LaTeCH-CLfL 2019
Language:Python0 3 01
NAACL-HLT-2021-Latin-Intertextuality
This repository includes the data and code relevant to the Burns, Brofos, Li, Chaudhuri, and Dexter paper for NAACL-HLT 2021
Language:Jupyter Notebook4 4 10
qcrit
Easily extract features from texts, and run machine learning algorithms on them. Write your own features, use ours, or do both!
Language:Python1 3 03

QuantitativeCriticismLab's Repositories

QuantitativeCriticismLab/NAACL-HLT-2021-Latin-Intertextuality
This repository includes the data and code relevant to the Burns, Brofos, Li, Chaudhuri, and Dexter paper for NAACL-HLT 2021
Language:Jupyter Notebook4 4 10
QuantitativeCriticismLab/AJP-2022-Senecan-Trimeter
This repository includes the data and code relevant to the Fedchin, Burns, Chaudhuri, and Dexter article for AJP
Language:Python1 3 00
QuantitativeCriticismLab/ancient_greek_genre_classification
"Stylometric Classification of Ancient Greek Literary Texts by Genre" LaTeCH-CLfL 2019
Language:HTML1 5 01
QuantitativeCriticismLab/qcrit
Easily extract features from texts, and run machine learning algorithms on them. Write your own features, use ours, or do both!
Language:Python1 3 03
QuantitativeCriticismLab/dhbme
QCL Digital Humanities Beyond Modern English Conference Site
Language:CSS0 4 00
QuantitativeCriticismLab/DHBME2
Site for Digital Humanities Beyond Modern English 2022 conference
Language:CSS0 0 00
QuantitativeCriticismLab/LaTeCH-CLfL-2019-GreekClassification
Replication code for Gianitsos et al., "Stylometric Classification of Ancient Greek Literary Texts by Genre", LaTeCH-CLfL 2019
Language:Python0 3 01