Open Source Languages Software
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Languages Software
View 3938 business solutionsBrowse free open source Languages software and projects below. Use the toggles on the left to filter open source Languages software by OS, license, language, programming language, and project status.
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Locale Emulator
Yet another system region and language simulator
Locale Emulator is a tool similar to AppLocale and NTLEA, providing a simulation function that can make an application recognize your OS as in a language other than the real one. It is quite useful when you are trying to play country-specific games. Locale Emulator is compatible with the following systems, both 32 and 64-bit, Windows 7 with Service Pack 1, Windows 8.1, and Windows 10. Locale Emulator supports 32-bit executables running on both 32-bit or 64-bit systems. For example, if you are using 64-bit WinRAR, you will not see the context menu on a RAR file unless you swapped 64-bit WinRAR with the 32-bit version. Clone the repo using Git, install Microsoft Visual Studio 2015 / 2017, open LocaleEmulator.sln, perform build action, clone and build the core libraries, and copy LoaderDll.dll and LocaleEmulator.dll from Locale-Emulator-Core to Locale-Emulator build folder. -
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Open Chinese Convert
Conversion between Traditional and Simplified Chinese
Open Chinese Convert (OpenCC, 開放中文轉換) is an opensource project for conversions between Traditional Chinese, Simplified Chinese and Japanese Kanji (Shinjitai). It supports character-level and phrase-level conversion, character variant conversion and regional idioms among Mainland China, Taiwan and Hong Kong. This is not translation tool between Mandarin and Cantonese, etc. -
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Pinyinput is an IME for Windows that allows you to type Hanyu Pinyin with tone marks.
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OCR Manga Reader for Android
Android Manga reader with Japanese OCR and dictionary capabilities
OCR Manga Reader is a free and open source Android app that allows you to quickly OCR and lookup Japanese words in real-time. It does not have ads or telemetry/spyware and does not require an Internet connection. Supports both EDICT and EPWING dictionaries. Requires Android 4.0 (Ice Cream Sandwich) or higher. See http://ocrmangareaderforandroid.sourceforge.net/ for details. -
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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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Translation of Selected text or Clipboard contents powered by Google. HotKeys Paste/Change Text auto translated. View in Balloon/Window the result of translation, besides being sent to the clipboard. Screen Capture of Desktop/Game > OCR > Translated.
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subs2srs
Convert movies and TV shows to flashcards
subs2srs allows you to create import files for Anki or other Spaced Repetition Systems (SRS) based on your favorite foreign language movies and TV shows to aid in the language learning process. See http://subs2srs.sourceforge.net/ for more information. -
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zkanji - Japanese Language Study Suite
Japanese vocabulary and kanji study tool with built in dictionary
zkanji is a feature rich Japanese language study suite and dictionary for Windows. It has several kanji look-up methods, optional example sentences for many Japanese words, vocabulary printing, JLPT levels indicated for words and kanji for all N levels, spaced-repetition system for studying and more. Visit http://zkanji.sourceforge.net for details -
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OpenTeacher is an opensource application that helps you learn a foreign language vocabulary. Just enter some words in your native and foreign language, and OpenTeacher tests you.
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IK Analysis for Elasticsearch
A plugin that integrates Lucene IK analyzer into elasticsearch
IK Analyzer is an open source, lightweight Chinese word segmentation toolkit developed based on java language. Since the release of version 1.0 in December 2006, IKAnalyzer has launched 4 major versions. Initially, it was a Chinese word segmentation component based on the open source project Luence as the main application, combined with dictionary word segmentation and grammar analysis algorithms. Starting from version 3.0, IK has developed into a common word segmentation component for Java, independent of the Lucene project, and at the same time provides a default optimized implementation of Lucene. In the 2012 version, IK implemented a simple word segmentation ambiguity elimination algorithm, marking the evolution of the IK tokenizer from pure dictionary word segmentation to analog semantic word segmentation. -
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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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jieba
Stuttering Chinese word segmentation
"Jaba" Chinese word segmentation, do the best Python Chinese word segmentation component. Four word segmentation modes are supported. Precise mode, which tries to cut the sentence most precisely, suitable for text analysis. Full mode, scans all the words that can be formed into words in the sentence, the speed is very fast, but the ambiguity cannot be resolved. The search engine mode, on the basis of the precise mode, divides the long words again to improve the recall rate, which is suitable for word segmentation in search engines. The paddle mode uses the PaddlePaddle deep learning framework to train the sequence labeling (bidirectional GRU) network model to achieve word segmentation. Also supports part-of-speech tagging. To use paddle mode, you need to install paddlepaddle-tiny, pip install paddlepaddle-tiny==1.6.1. Currently paddle mode supports jieba v0.40 and above. For versions below jieba v0.40, please upgrade jieba, pip install jieba --upgrade. -
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Slim Template
Template language to reduce the syntax to the essential parts
Slim is a Ruby template language whose goal is reduce the syntax to the essential parts without becoming cryptic. The initial design of Slim is what you see on the home page. It started as an exercise to see how much could be removed from a standard html template (<, >, closing tags, etc.). As more people took an interest in Slim, the functionality grew and so did the flexibility of the syntax. Slim will strive to maintain simplicity, but not everyone's definition of a readable syntax is the same. The docs will show you the options. Short syntax without closing tags (Using indentation instead) HTML style mode with closing tags. Slim is a fast, lightweight templating engine with support for Rails 3 and later. It has been heavily tested on all major ruby implementations. We use continuous integration (travis-ci). Slim uses Temple for parsing/compilation and is also integrated into Tilt, so it can be used together with Sinatra or plain Rack. -
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Stanza
Stanford NLP Python library for many human languages
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. Stanza is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. The toolkit is designed to be parallel among more than 70 languages, using the Universal Dependencies formalism. Stanza is built with highly accurate neural network components that also enable efficient training and evaluation with your own annotated data. -
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The project provides a ready-to-use interface for the julius CSR engine for a handicapped child which is not able to use the keyboard well. It integrates into X11 and Windows. Find out how you can help: http://simon-listens.org/index.php?support
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YAppaRi Seyali
YAppaRi Seyali is a Tamil Prosidy Analyzer
யாப்பறி செயலி This is a java interfaced UI for the Tamil Prosidy Analyzer It is in Beta version and expected to have some bugs. -
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IMS Open Corpus Workbench
Indexing and query tools for very large text corpora
The IMS Open Corpus Workbench is a collection of tools for managing and querying large text corpora (100 M words and more) with linguistic annotations. Its central component is the flexible and efficient query processor CQP, which can be used interactively in a terminal session, as a backend e.g. from a Perl script, or through the Web-based GUI CQPweb. -
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Luz do Saber
Software para alfabetização e inclusão digital.
Luz do Saber é um software educativo utilizado para alfabetização e inclusão digital que conta com duas versões, uma infantil e outra para jovens e adultos. Baseado na metodologia de ensino de Paulo Freire. Este projeto é financiado pelo Governo do Estado do Ceará - Brasil. -
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Olam English Malayalam Dictionary
Unofficial Offline version of olam english malayalam dictionary
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Fanyi
A 🇨🇳 and 🇺🇸 translate tool in your command line
Fanyi is a tool for translating words between the Chinese and English languages, right in your command line. It’s a good supportive tool for learning and reading the Chinese language from English, or the other way around. All translation data is fetched from iciba.com and fanyi.youdao.com, and with each translation comprehensive and related samples are given for better understanding and proper usage. There are translations for words as well as sentences, and in Mac/Linux bash, words can even be pronounced by the ‘say’ command. -
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Pinyin
A high-quality solution for converting Chinese to Pinyin
The Chinese to Pinyin tool based on the CC-CEDICT dictionary, more accurately supports the solution of Chinese characters to Pinyin for polyphonic characters. Memory type, suitable for servers with more memory space, advantages, fast conversion. Small memory type (default), suitable for environments with tight memory, advantages, small memory footprint, conversion is not as fast as memory type. I/O type, suitable for virtual machines with strict memory restrictions. Advantages: very minimal memory consumption. Disadvantages, slow conversion, not as fast as memory conversion, php >= 5.5. Small memory type, load dictionary shards into memory. In-memory, preload all dictionaries into memory. Do not load into memory, open dictionary line by line traversal using file stream and allocate single line memory using php5.5 generator (yield) feature. -
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Japanese Text Analysis Tool
Generate frequency and readability reports from Japanese texts.
cb's Japanese Text Analysis Tool allows users to analyze Japanese text files and generate 4 kinds of reports: 1) Word Frequency Report, 2) Kanji Frequency Report, 3) Formula-based Readability Report, 4) User-based Readability Report. Portable and does not require installation. -
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Keyboard ini disusun berdasarkan persamaan fonetik huruf rumi dan jawi. Keyboard ini juga menyokong tulisan al-Quran dengan baris-baris asas. Sticker tidak lagi diperlukan untuk menaip jawi sekiranya anda memahami kaedah yang digunakan dalam penyusunan huruf-huruf jawi ini.
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Epwing2Anki
Used to automate creation of Japanese Anki vocabulary cards.
Epwing2Anki may be used to automatically or semi-automatically create Japanese Anki vocabulary cards based on a provided list of words and one or more of your favorite EPWING dictionaries and/or the included EDICT J-E dictionary and Tatoeba example sentence corpus. -
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Fresh Memory
Flashcards application with Spaced Repetition method
Fresh Memory is an application that helps to learn large amounts of any material with Spaced Repetition method. The most important subject is learning foreign words, but Fresh Memory can be also used to learn anything else. The learning data is stored as flash cards and dictionaries. The flash cards may have several fields, and the user controls what combination of fields to learn. The flashcards can have formatted text and images.
