FSTmorph
This repository houses a set of language-neutral tools for converting CSVs to a finite-state transducer (FST), as well as for testing that FST via YAML files.
Documentation can be found inside docs.
User Instructions
Installation
This package can be installed via pip:
pip install fstmorph
The distribution files can also be downloaded directly from the dist/ folder.
Using FSTmorph
A thorough example of how to use this package is given in OjibweMorph, outlining how to build, test, and use an FST in Ojibwe using FSTmorph. The Makefile there outlines how the code in this repo is utilized.
That said, this FST-generating code is intended to be applicable for other Algonquian languages and beyond -- if you have the necessary spreadsheets for your target language, it should be compatible with this code!
Citation
To cite this work or the contents of the repository in an academic work, please use the following:
Metadata
Release files for FSTmorph 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| fstmorph-0.1.3.tar.gz | 31.9 kB | Without provenance | Details for fstmorph-0.1.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| fstmorph-0.1.3-py3-none-any.whl | Python 3 | none | any | Details for fstmorph-0.1.3-py3-none-any.whl |
Total release size: 69.3 kB
Release files / fstmorph-0.1.3.tar.gz
| Download URL | fstmorph-0.1.3.tar.gz |
|---|---|
| Size | 31.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.10
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Release files / fstmorph-0.1.3-py3-none-any.whl
| Download URL | fstmorph-0.1.3-py3-none-any.whl |
|---|---|
| Size | 37.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.10
|
Security for FSTmorph 0.1.3
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