Pinned Repositories
amr-guidelines
dictionary
The dictionary comprised of the Coptic lexicon created by the BBAW and interface by Coptic SCRIPTORIUM. Currently deployed at https://corpling.uis.georgetown.edu/coptic-dictionary/.
docs
Universal Dependencies online documentation
ENLP-Project
Sentiment Analysis on Movie Reviews
gum
Repository for the Georgetown University Multilayer Corpus (GUM)
hugo-academic
📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!
Little-Projects
A collection of little projects
mae-annotation
MAE is a lightweight, general-purpose natural language annotation tool
markdown-it-smartarrows
markdown-it plugin that adds more typographic enhancements (like smart arrows)
mitchelljabrams.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
mjabrams's Repositories
mjabrams/amr-guidelines
mjabrams/dictionary
The dictionary comprised of the Coptic lexicon created by the BBAW and interface by Coptic SCRIPTORIUM. Currently deployed at https://corpling.uis.georgetown.edu/coptic-dictionary/.
mjabrams/docs
Universal Dependencies online documentation
mjabrams/ENLP-Project
Sentiment Analysis on Movie Reviews
mjabrams/gum
Repository for the Georgetown University Multilayer Corpus (GUM)
mjabrams/hugo-academic
📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!
mjabrams/Little-Projects
A collection of little projects
mjabrams/mae-annotation
MAE is a lightweight, general-purpose natural language annotation tool
mjabrams/markdown-it-smartarrows
markdown-it plugin that adds more typographic enhancements (like smart arrows)
mjabrams/mitchelljabrams.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
mjabrams/mitchelljamesabrams.github.io
mjabrams/mjabrams.github.io
mjabrams/penman
PENMAN notation (e.g. AMR) in Python
mjabrams/programs
mjabrams/python-workshop
mjabrams/template-python
A template for new Python libraries.
mjabrams/Tweetables
A summer project where I use Twitter's API to obtain linguistic data to analyze
mjabrams/wordembeddings
Some experimentations with word embeddings