CentreForDigitalHumanities

CentreForDigitalHumanities/perfect-extractor

Extracting present perfects (and related forms) from parallel corpora

Stars: 7
Forks: 2
Open beginner issues: 0
Indexed issues: 3

Dominant language: Python
License: MIT
Last GitHub push: Dec 18, 2022
Latest indexed: Sep 14, 2026
Contributing guide: No contributing guide
Code of conduct: No code of conduct
Beginner labels: No beginner labels indexed
PR merge metrics: No merged PRs in 30d

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3 open issues indexed

Deal with forms like "have got" and "have got to" Open

CentreForDigitalHumanities/perfect-extractor#1 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 14, 2026
Deal with epistemic modals Open

CentreForDigitalHumanities/perfect-extractor#2 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 14, 2026
Corpus-independent configuration file Open

CentreForDigitalHumanities/perfect-extractor#5 · 0 comments · 0 reactions · 1 assignee · Indexed Sep 14, 2026

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