Encoding tools for DDHI
Project description
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:
ddhi_convert: convert a Dartmouth DVP transcript from docx to tei.xml.
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/.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file ddhi_encoder-1.0.2-py2.py3-none-any.whl
.
File metadata
- Download URL: ddhi_encoder-1.0.2-py2.py3-none-any.whl
- Upload date:
- Size: 14.6 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.41.0 CPython/3.8.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ef96adbc5323082f7ba894bbee4409ecd1e67e3ddd3cfbceef5fcedd94eb510c |
|
MD5 | ac56f8ce5e9ba42e2301c05d8a2e6304 |
|
BLAKE2b-256 | fb0016e11a978198b777218d4b6b482ae1188a7a29fffeda0b7c4ea07503d3cf |