DeepVocabulary

This will primarily be a server that:

• models text tokens and lemmatisation mapped to glosses
• provides both API-based and HTML-based way of retrieving vocabulary lists for particular texts

See overview.

Getting Started

Make sure you are using a virtual environment of some sort (e.g. virtualenv or pyenv).

createdb deep-vocabulary
npm install
pip install -r requirements.txt
./manage.py migrate
./manage.py loaddata sites
python manage.py shell

In the Python shell:

from deep_vocabulary.models import *
import_data("./data/editions_03.txt", "./data/logeion_03.txt", "./data/bag_of_words_03.txt", "logeion_003")
mark_core("./data/core_works_urn.txt")
update_lemma_counts()
update_edition_token_counts()
update_lemma_unaccented()
update_lemma_sort_keys()

Some of the Python shell commands take a few minutes (especially import_data, update_lemma_counts, and update_lemma_sort_keys). mark_core may report some URNs could not be found; this can be ignored.

Once the above has been run,

npm run dev

and browse to http://localhost:3000/