tsakorpus | Yet another search platform for linguistic corpora
kandi X-RAY | tsakorpus Summary
kandi X-RAY | tsakorpus Summary
tsakorpus is a Python library. tsakorpus has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Tsakorpus is a linguistic corpus search platform which uses elasticsearch for storing and querying data. It consists of a set of source convertors, an indexator and a web interface with a search engine. The source convertors transform a corpus in one of the several supported formats into a set of JSON documents in tsakorpus format. The indexator puts these documents into the database together with the frequency data for words that it calculates on the fly. The web interface, written in python+flask, allows the user to make complex queries using GUI and view the search results. The search queries are sent to the back-end as GET queries and transformed to JSON elasticsearch queries on the server. The search results are partly transformed to HTML on the server, sent back to the front-end as JSON through Ajax requests and displayed on the results page by a set of JavaScript/jQuery functions. Tsakorpus supports corpora with morphological annotation, special gloss search, multi-word search, subcorpus selection, automatic transliteration, word distribution charts, parallel corpora, and media-aligned corpora. Multiple interface languages are supported with Flask-Babel.
Tsakorpus is a linguistic corpus search platform which uses elasticsearch for storing and querying data. It consists of a set of source convertors, an indexator and a web interface with a search engine. The source convertors transform a corpus in one of the several supported formats into a set of JSON documents in tsakorpus format. The indexator puts these documents into the database together with the frequency data for words that it calculates on the fly. The web interface, written in python+flask, allows the user to make complex queries using GUI and view the search results. The search queries are sent to the back-end as GET queries and transformed to JSON elasticsearch queries on the server. The search results are partly transformed to HTML on the server, sent back to the front-end as JSON through Ajax requests and displayed on the results page by a set of JavaScript/jQuery functions. Tsakorpus supports corpora with morphological annotation, special gloss search, multi-word search, subcorpus selection, automatic transliteration, word distribution charts, parallel corpora, and media-aligned corpora. Multiple interface languages are supported with Flask-Babel.
Support
Quality
Security
License
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Support
tsakorpus has a low active ecosystem.
It has 11 star(s) with 12 fork(s). There are 3 watchers for this library.
It had no major release in the last 12 months.
There are 8 open issues and 3 have been closed. On average issues are closed in 56 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of tsakorpus is v2.1.0
Quality
tsakorpus has no bugs reported.
Security
tsakorpus has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
tsakorpus 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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tsakorpus releases are available to install and integrate.
Build file is available. You can build the component from source.
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tsakorpus Key Features
No Key Features are available at this moment for tsakorpus.
tsakorpus Examples and Code Snippets
No Code Snippets are available at this moment for tsakorpus.
Community Discussions
No Community Discussions are available at this moment for tsakorpus.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tsakorpus
You can download it from GitHub.
You can use tsakorpus 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 tsakorpus 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
All documentation is available here. If you are not sure if Tsakorpus is what you need, read the FAQ. If you want to set up a corpus, start here. Feel free to ask questions or discuss Tsakorpus on the Discussions page or post issues.
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