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Showing 10 open source projects for "gmail source code"
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Laravel Translatable Package
A Laravel package for multilingual models
If you want to store translations of your models into the database, this package is for you. This is a Laravel package for translatable models. Its goal is to remove the complexity in retrieving and storing multilingual model instances. With this package you write less code, as the translations are being fetched/saved when you fetch/save your instance. -
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LWT ◆ Learning With Texts [Official]
A feature-rich web application for language learning through reading
...To run LWT, you'll need: - a modern web browser, - a local web and database server with PHP - like XAMPP, MAMP, LAMP, - and the LWT application, which you can download here. Please note: All LWT forks on the web that I've found and tested are either outdated or buggy, even though they contain some new features or cleaner source code. This OFFICIAL VERSION is from the original author. It is stable and bug-free. -
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Key Store
Scriptural Keys Restoration - decoded universally symbolic language
The Key Store is a directory where users can find the symbolic meaning to a word as defined in Holy Scripture. These are often referred to as the keys of the Kingdom of Heaven. Much like a secret code, the directory exposes a universal dialect, all but nearly lost throughout the Dark Ages of time. Yet, fragments of this language remained until today such as, Father = Time and Mother = Nature. The database is expandable to grow as more entries and the sources are uncovered. -
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LTEX Extension for VS Code
LTeX: Grammar/spell checker for VS Code using LanguageTool
LTEX provides offline grammar checking of various markup languages using LanguageTool (LT). LTEX can be used standalone as a command-line tool, as a language server using the Language Server Protocol (LSP), or directly in various editors using extensions. LTEX currently supports BibTEX, ConTEXt, LATEX, Markdown, Org, reStructuredText, R Sweave, and XHTML documents. A classic use case of LTEX is checking scientific LATEX papers. -
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QJDicExample
QJDicExample is an English <-> Japanese dictionary.
...QJDicExample uses JMdict, JMnedict, Kanjidic2, Radkfilex, KanjiVG, Tanaka Corpus / Tatoeba databases for translations and zinnia recognition library for handwritten kanji recognition. Latest source code: git clone git://git.code.sf.net/p/qjdicexample/code qjdicexample-code -
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easyjasub
Tool to add furigana and in-line translation to Japanese subtitles
easyjasub (http://easyjasub.sf.net) is a tool to assist in understanding Japanese subtitles those who have a little knowledge of Japanese language, for language learning. It allows you to get subtitles with furigana and in-line translation, in several formats suitable for both video rendering and self-study Timing for the Japanese subtitles is used, the secondary subtitles may be repeated into multiple lines. The synchronization of input text subtitles is very important to properly... -
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Hogan.js
A compiler for the Mustache templating language
Hogan.js is a 2.5k JS templating engine developed at Twitter. Use it as a part of your asset packager to compile templates ahead of time or include it in your browser to handle dynamic templates. If you're developing with Node.js, just use NPM to add the Hogan package. Hogan.js was developed against the mustache test suite, so everything that holds true for templates is also the case for hogan.js. That means you get variables, sections, lambdas, partials, filters, and everything else you've... -
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Language KISS HTML5
Browser based flash cards
Browser based flash cards to learn a language, see http://en.wikipedia.org/wiki/Flash_cards. You just need - a modern browser (smartphone, tablet, computer,...) and - an internet connection. Main features - learn (cards due to learn), swat (every card) - copy cards - filter - sort - synchronize between devices - share cards with other users (just use all and/or improve and add cards) Programm code and usage follows the KISS principle, see... -
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Simple application for learning foreign words. Source code: http://github.com/Demihalf/WordTrain
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