django-crowdflower-annotations | ASR transcription and SLU annotation web interface
kandi X-RAY | django-crowdflower-annotations Summary
kandi X-RAY | django-crowdflower-annotations Summary
django-crowdflower-annotations is a Python library. django-crowdflower-annotations has no bugs, it has no vulnerabilities and it has low support. However django-crowdflower-annotations build file is not available and it has a Non-SPDX License. You can download it from GitHub.
ASR transcription and SLU annotation web interface for call logs collected at UFAL-DSG.
ASR transcription and SLU annotation web interface for call logs collected at UFAL-DSG.
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Quality
Security
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Support
django-crowdflower-annotations has a low active ecosystem.
It has 11 star(s) with 0 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
django-crowdflower-annotations 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 django-crowdflower-annotations is current.
Quality
django-crowdflower-annotations has no bugs reported.
Security
django-crowdflower-annotations has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
django-crowdflower-annotations has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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django-crowdflower-annotations releases are not available. You will need to build from source code and install.
django-crowdflower-annotations 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 django-crowdflower-annotations and discovered the below as its top functions. This is intended to give you an instant insight into django-crowdflower-annotations implemented functionality, and help decide if they suit your requirements.
- Transcribes the user turns into an annotation
- Join features together
- Remove a key from the dict
- Group a list of objects
- Import dialogues
- Adds a dg to the workflow
- Determine the job ID used to match the given dg
- Uploads all the submissions to Crowdflower
- Render a link button
- Create a JSON representation of a dialog
- Action to update the gold status of each transcript
- Return a dict of all available price classes
- List open annions
- Return a combined result
- Returns a list of job ids
- Update the transcription object
- Prune features that are less than min_val
- Compute the English score for each channel
- Cache lru_cache
- Make an abstractedtuple
- Parse a command string
- Called after pre - save
- Make a list of fixtures
- Compute the product measures for a given author
- Instantiates templates from the given settings module
- Reconstruct worker ids from a job report
Get all kandi verified functions for this library.
django-crowdflower-annotations Key Features
No Key Features are available at this moment for django-crowdflower-annotations.
django-crowdflower-annotations Examples and Code Snippets
No Code Snippets are available at this moment for django-crowdflower-annotations.
Community Discussions
No Community Discussions are available at this moment for django-crowdflower-annotations.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-crowdflower-annotations
You can download it from GitHub.
You can use django-crowdflower-annotations 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 django-crowdflower-annotations 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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