IMSurReal | IMS Surface Realization System for INLG2019 and SR'19
kandi X-RAY | IMSurReal Summary
kandi X-RAY | IMSurReal Summary
IMSurReal is a Python library. IMSurReal has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However IMSurReal build file is not available. You can download it from GitHub.
[v1.0]: IMS Surface Realization System for INLG2019 and SR'19 Shared Task, see (for the details of the task. [v2.0]: Improved linearization decoder (based on the Traveling Salesman Problem, see the ACL2020 paper for details) with major code refactorization.
[v1.0]: IMS Surface Realization System for INLG2019 and SR'19 Shared Task, see (for the details of the task. [v2.0]: Improved linearization decoder (based on the Traveling Salesman Problem, see the ACL2020 paper for details) with major code refactorization.
Support
Quality
Security
License
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Support
IMSurReal has a low active ecosystem.
It has 4 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 2 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of IMSurReal is v2.1
Quality
IMSurReal has no bugs reported.
Security
IMSurReal has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
IMSurReal is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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IMSurReal releases are available to install and integrate.
IMSurReal has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed IMSurReal and discovered the below as its top functions. This is intended to give you an instant insight into IMSurReal implemented functionality, and help decide if they suit your requirements.
- Read a CoLLU file
- Flattens a token
- Convert the lemma to the lemma
- Complete the sentence
- Train the model
- Encodes the given sentence
- Clear the prediction
- Finetuning
- Produce an ensemble of the input files
- Read a CONLLU file
- Evaluate the model
- Write nbest predictions to file
- Compute the attention matrix
- Checks if the token is correct
- Predict on the given sentence
- Train the model
- Evaluate the prediction
- Perform prediction on the given sentence
- Reads text from a text file
- Initialize map maps
- Decodes the gold sequence
- Train a single step
- Encodes a sentence
- Predict a given sentence
- Write a conllu file
- Predicts the prediction for the given sentence
- Train one step
Get all kandi verified functions for this library.
IMSurReal Key Features
No Key Features are available at this moment for IMSurReal.
IMSurReal Examples and Code Snippets
No Code Snippets are available at this moment for IMSurReal.
Community Discussions
No Community Discussions are available at this moment for IMSurReal.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install IMSurReal
You can download it from GitHub.
You can use IMSurReal 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 IMSurReal 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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