Multi-task-NMT
The Pytorch-based implementation of the Multi-task Neural Machine Transliteration system initially built for the undegraduate thesis at University of Edinburgh.
- Requirements
torchtext>=0.5.0
torchvision>=0.5.0
python-Levenshtein>=0.12.0 # for Minimum Edit Distance
pandas>=1.0.3
- Install package
pip install multi-nmt-lawhy
1 maintainer
Metadata
1 maintainer
Release files for multi-task-nmt-lawhy 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| multi_task_nmt_lawhy-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Release files / multi_task_nmt_lawhy-0.1.3-py3-none-any.whl
| Download URL | multi_task_nmt_lawhy-0.1.3-py3-none-any.whl |
|---|---|
| Size | 2.8 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
137fcd6cd3b55572113815b9ddb8111c93b3c9c4def649a84b51675552382858
|
|
BLAKE2b-256 checksum How to use checksums |
38d7450264bfe88fa7af8bfcca7ef36d319df8610150452e8a1b7fd1ad72bbea
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3
|
