Metadata-Version: 2.1
Name: ddhi-encoder
Version: 1.0.2
Summary: Encoding tools for DDHI
Home-page: https://github.com/pyscaffold/pyscaffold/
Author: Clifford Wulfman
Author-email: cwulfman@princeton.edu
License: mit
Project-URL: Documentation, https://pyscaffold.org/
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Description-Content-Type: text/x-rst; charset=UTF-8
Provides-Extra: testing
Requires-Dist: pytest ; extra == 'testing'
Requires-Dist: pytest-cov ; extra == 'testing'

============
ddhi-encoder
============


A collection of commandq-line utilities to assist in the creation of
TEI-encoded oral history interviews.  Part of the Dartmouth Digital
History Initiative.


Description
===========
The ddhi-encoder package is being developed to assist encoders in the
DDHI project in encoding oral history interview transcripts in TEI.
At present, it contains 2 command-line utilities:


  1) ddhi_convert: convert a Dartmouth DVP transcript from docx to tei.xml.
  2) ddhi_tag: perform named-entity tagging on a DDHI TEI transcription.


Installation
============
Simply issue pip install ddhi_encoder at the command line.


Note
====

This project has been set up using PyScaffold 3.2.3. For details and usage
information on PyScaffold see https://pyscaffold.org/.


