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GonzoKnows to Open Source@lemmy.mlEnglish · 2 years ago

is languagetool still open source? is it even worth it?

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is languagetool still open source? is it even worth it?

GonzoKnows to Open Source@lemmy.mlEnglish · 2 years ago
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  • ReversalHatchery@beehaw.org
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    2 years ago

    The browser addon is not anymore, and they were kind of hostile responding to questions regarding that.

    The server software’s open source version also only supports the free tier’s features. There was a fork that was supposed to add the paid features, but it’s not maintained.

  • Helix 🧬@feddit.de
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    2 years ago

    Yes, it’s still open source: https://github.com/languagetool-org/languagetool

    And yes, it’s worth it. However I think that LLaMA based ML models supplementing LanguageTool will be the future.

    • Even_Adder@lemmy.dbzer0.com
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      2 years ago

      Very cool.

  • PeachMan@lemmy.one
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    2 years ago

    Worth what? It’s free! And yes, it’s open source. It can also be self-hosted if you’re paranoid.

  • nutbutter@discuss.tchncs.de
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    2 years ago

    I self-host it in a docker container. You will have to download abour 4 gigabytes of “n-gram” data. And there are no AI features in the self-hosted version.

    • GonzoKnowsOP
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      2 years ago

      do you have a guide?

      • nutbutter@discuss.tchncs.de
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        2 years ago

        Here’s my podman-compose.yml file (you can use this as you docker-compose file as well):

        version: "3"
        
        services:
          languagetool:
            image: erikvl87/languagetool:latest
            container_name: languagetool
            ports:
                - 8010:8010  # Using default port from the image
            environment:
                - langtool_languageModel=/ngrams  # OPTIONAL: Using ngrams data
                - Java_Xms=512m  # OPTIONAL: Setting a minimal Java heap size of 512 mib
                - Java_Xmx=1g  # OPTIONAL: Setting a maximum Java heap size of 1 Gib
            volumes:
                - path/to/ngrams:/ngrams
            restart: always
        

        Just download the ngrams from this link and change the path in the file. You can use this with a Firefox or Thunderbird addon. Go to the advanced settings in the addon preferences and add http(s)://YOUR_IP_OR_DOMAIN/v2 in the other server option.

        References:

        • https://github.com/Erikvl87/docker-languagetool
        • https://dev.languagetool.org/finding-errors-using-n-gram-data
        • https://dev.languagetool.org/http-server

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