Alternatively, you can also use the "Copy formatted" button from the menu to be done in one click. In tree mode, you can just paste the file and copy it again: the contents will automatically be formatted. In code mode, you can paste a JSON file in the editor, and click the "Format" button from the menu. You can use the editor as a json formatter. Then, you can edit the contents similar to how you use any text editor: enter new content with your keyboard, and right-click to open a context menu with actions like copy/paste, insert, remove. JSON Editor Online offers the following features:įrequently asked questions (FAQ) How do I edit a JSON file?Ĭopy and paste your JSON file in the JSON editor, or load it from disk via the menu or via drag-and-drop. Jos created the editor out of personal needs, working with JSON based API's and databases on a daily basis as a full-stack engineer. JSON Editor Online is developed and maintained by Jos de Jong, an enthusiastic, passionate senior software engineer with 20+ years of experience in the field. JSON is the most used data format between servers and browser, and JSON Editor Online is an indispensable tool for frontend and backend developers working with JSON data in their daily life. The editor offers all your need in one place: from formatting and beautifying your JSON data to comparing JSON documents or querying your JSON data. It is one of the best and most popular tools around, has a high user satisfaction, and is completely free. With these advancements, the team hopes to develop a product that can serve the entire Hindi language pedagogy community and other researchers in Hindi linguistics, as well as serve as a model for less commonly taught languages to provide data-supported instructional materials.JSON Editor Online is a versatile, high quality tool to edit and process your JSON data. The next steps for the project include continuing to iterate on prompts, developing vocabulary sets inspired by content in Hindi newspaper articles surrounding a particular topic, using LangChain to develop a document store that allows for semantic search to select articles on a specific topic, and training a model in Hindi/Sanskrit from scratch. The team has tested several pre-trained transformer models and large language models, including 50 Text2Text Generation models on HuggingFace that included Hindi language texts in their training, Poe (Sage, Claude, Dragonfly), ChatGPT, GPT4, BingGPT, and Google BARD. However, digitized articles can be expensive, costing around $7,000 a year. To overcome this challenge, they have turned to newspapers, which still capture how the language evolves, though it is still a slightly more formal version of the language. The team has faced some obstacles, including the lack of free, computer-readable modern Hindi texts. The team is also developing a process that can be replicated by others, with a proof of concept that uses AI to generate level-appropriate and updated vocabulary lists. To address these issues, the project team is developing an AI assistant for language professors, along with tools that allow curriculums to stay current with changes in the language. Existing teaching materials for Hindi are rigid and overly formal, teaching a “pure” version of the language rooted in Sanskrit, and do not account for colloquialisms or loan words from other languages. The project’s goal is to address the challenges faced by less commonly taught languages, such as Hindi, which often struggle to keep up with the changes in language. Xiaodi Ruan, a Computer Science student at Vanderbilt, and Sean Onamade, an intern at Vanderbilt University Medical Center, also worked on the project. Elliott McCarter, and Data Scientist, Umang Chaudhry led the research project. The team is developing an AI assistant for language professors and tools that keep the curricula up-to-date with changes in the Hindi language. The Vanderbilt University Data Science Institute made progress this semester on a research project to bridge the gap in language acquisition of low-resource languages through deep learning.
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