apertium-python | Apertium API in Python | REST library

 by   apertium Python Version: Current License: GPL-3.0

kandi X-RAY | apertium-python Summary

kandi X-RAY | apertium-python Summary

apertium-python is a Python library typically used in Web Services, REST applications. apertium-python has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install apertium-python' or download it from GitHub, PyPI.

Apertium API in Python.
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            kandi-support Support

              apertium-python has a low active ecosystem.
              It has 20 star(s) with 14 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 23 open issues and 29 have been closed. On average issues are closed in 118 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of apertium-python is current.

            kandi-Quality Quality

              apertium-python has 0 bugs and 0 code smells.

            kandi-Security Security

              apertium-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              apertium-python code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              apertium-python 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.

            kandi-Reuse Reuse

              apertium-python releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed apertium-python and discovered the below as its top functions. This is intended to give you an instant insight into apertium-python implemented functionality, and help decide if they suit your requirements.
            • Returns the installation path for windows
            • Search rootpath
            • Update modes
            • Append a pair of paths
            • Tag text in_text
            • Return a list of the commands that are used in the tagger
            • Return a list of lexical units
            • Tag in_text
            • Analyze text
            • Return list of available analyzers
            • Parse text into lexical units
            • Analyze the text in_text
            • Translate text using language
            • Get translation commands
            • Translate text
            • Parse mode file
            • Generate text from in_text
            • Generate code from text
            • Get the list of available commands
            • Install apertium module
            • Return the installed installer
            • Install an apertium module
            • Download apertium
            • Download zip files
            • Searches for the specified find_value
            • Initial setup
            Get all kandi verified functions for this library.

            apertium-python Key Features

            No Key Features are available at this moment for apertium-python.

            apertium-python Examples and Code Snippets

            No Code Snippets are available at this moment for apertium-python.

            Community Discussions

            Trending Discussions on apertium-python

            QUESTION

            Apertium + Python: POS-tagger not providing surface form
            Asked 2020-Nov-18 at 21:29

            I'm trying to POS-tag some sentences in Italian with Apertium's tagger. While according to the Apertium GitHub page I am supposed to get as output also the surface form in addition to the morphological analysis, I only get the analysis. I want also the surface form. I cannot infer it since the tagger doesn't necessarily tag a single token, so I cannot simply tokenize the original sentence and loop over it or zip it with the tagger's output.

            According to the GitHub page:

            ...

            ANSWER

            Answered 2020-Nov-18 at 21:29

            By default, when creating a tagger of language ita it looks for /usr/share/apertium/modes/ita-tagger.mode. This is a shell script that calls various apertium commands. The command for the Italian tagger script happens to be configured to not include surface commands (it's missing the -p option).

            A quick and dirty solution is to just sudo vim /usr/share/apertium/modes/ita-tagger.mode (or sudo nano or whatever your editor is) and add -p to the end of the last command, so the file looks like

            Source https://stackoverflow.com/questions/64898002

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install apertium-python

            Installation on Debian/Ubuntu and Windows is natively supported:.
            Installation on Debian/Ubuntu and Windows is natively supported: pip install apertium
            For developers, pipenv can be used to install the development dependencies and enter a shell with them: pip install pipenv pipenv install --dev pipenv shell
            Apertium packages can be installed from Python interpreter as well. Install apertium-all-dev by calling apertium.installer.install_apertium() Install language packages with apertium.installer.install_module(language_name). For example apertium-eng can be installed by executing apertium.installer.install_module('eng')

            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 .
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/apertium/apertium-python.git

          • CLI

            gh repo clone apertium/apertium-python

          • sshUrl

            git@github.com:apertium/apertium-python.git

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