Showing 3 open source projects for "api"

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    GrammarChecker

    GrammarChecker

    Grammar checker for any text field via keyboard shortcut using LLM

    GrammarChecker is a utility for instant grammar correction in any text field via keyboard shortcut, powered by Large Language Models (LLM). Grammar Checker utilizes the OpenAI API, supporting both OpenAI and Google Gemini models (It is possible to add other custom models via config), and requires an API key to function. Simply select the text you want to check and trigger the assigned shortcut. Grammar Checker can be automatically launched on startup and run in the system tray. The main window provides a user-friendly interface where you can assign any specific keyboard shortcut for triggering grammar checks or adjust the prompt requirements to align with your specific writing needs, such as translating text into different language or something else.
    Downloads: 0 This Week
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  • 2
    Crow Translate

    Crow Translate

    Lightweight translator that allows you to translate and speak text

    Crow Translate is a simple and lightweight translator written in C++ / Qt that allows you to translate and speak text using Google, Yandex, Bing, LibreTranslate and Lingva translate API. You may also be interested in my library QOnlineTranslator used in this project. Wayland does not support global shortcuts registration, but you can use D-Bus to bind actions in the system settings. For desktop environments that support additional applications actions (KDE, for example) you will see them predefined in the system shortcut settings. ...
    Downloads: 23 This Week
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  • 3
    Phrasal

    Phrasal

    Statistical phrase-based machine translation system

    Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java. At its core, it provides much the same functionality as the core of Moses. Distinctive features include: providing an easy to use API for implementing new decoding model features, the ability to translating using phrases that include gaps (Galley et al. 2010), and conditional extraction of phrase-tables and lexical reordering models. Developed by The Natural Language Processing Group at Stanford University, a team of faculty, postdocs, programmers and students who work together on algorithms that allow computers to process and understand human languages. ...
    Downloads: 0 This Week
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