pTSL | This repository contains code
kandi X-RAY | pTSL Summary
kandi X-RAY | pTSL Summary
pTSL is a Python library. pTSL has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However pTSL build file is not available. You can download it from GitHub.
This repository contains code used in. Mayer, C. (to appear). Capturing gradience in long-distance phonotactics using probabilistic tier-based strictly local grammars. Proceedings of the Society for Computation in Linguistics.
This repository contains code used in. Mayer, C. (to appear). Capturing gradience in long-distance phonotactics using probabilistic tier-based strictly local grammars. Proceedings of the Society for Computation in Linguistics.
Support
Quality
Security
License
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Support
pTSL has a low active ecosystem.
It has 2 star(s) with 2 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
pTSL has no issues reported. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of pTSL is current.
Quality
pTSL has no bugs reported.
Security
pTSL has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
pTSL is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
pTSL releases are not available. You will need to build from source code and install.
pTSL has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed pTSL and discovered the below as its top functions. This is intended to give you an instant insight into pTSL implemented functionality, and help decide if they suit your requirements.
- Evaluate the Poisson model .
- Evaluate the given probabilities .
- Create a TSL from a tier and factors .
- Convert TTSL to TTSL format .
- Compute conditional probabilities for a given corpus .
- Evaluate the scores for the given data .
- Reads a corpus file .
Get all kandi verified functions for this library.
pTSL Key Features
No Key Features are available at this moment for pTSL.
pTSL Examples and Code Snippets
No Code Snippets are available at this moment for pTSL.
Community Discussions
No Community Discussions are available at this moment for pTSL.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pTSL
You can download it from GitHub.
You can use pTSL like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use pTSL like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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