Open Source JavaScript Machine Translation Software

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.

A free and unlimited API for Google Translate. The language in which the text should be translated. Must be one of the codes/names (not case sensitive) contained in languages.js. Auto language detection, spelling correction, language correction. Fast and reliable – it uses the same servers that translate.google.com uses.

Gemma Translator is an on-device voice translation system built around Google's Gemma 4 model and LiteRT-LM. It records speech, transcribes it locally, translates the resulting text, and speaks the translation back to another user. The entire inference workflow can operate offline after the required models are installed. Its React interface is optimized for compact handheld and Raspberry Pi displays, including two-person conversational layouts. A Python backend coordinates speech recognition, text-to-speech, and communication with the local language model. Scripts automate setup, model downloading, development startup, and production deployment as a Raspberry Pi kiosk. The repository also includes systemd configuration and printable enclosure files for building a dedicated translation appliance.

The Arabic Corpus {compiled by Dr. Mourad Abbas ( http://sites.google.com/site/mouradabbas9/corpora ) The corpus Khaleej-2004 contains 5690 documents. It is divided to 4 topics (categories). The corpus Watan-2004 contains 20291 documents organized in 6 topics (categories). Researchers who use these two corpora would mention the two main references: (1) For Watan-2004 corpus ---------------------- M. Abbas, K. Smaili, D. Berkani, (2011) Evaluation of Topic Identification Methods on Arabic Corpora,JOURNAL OF DIGITAL INFORMATION MANAGEMENT,vol. 9, N. 5, pp.185-192. 2) For Khaleej-2004 corpus --------------------------------- M. Abbas, K. Smaili (2005) Comparison of Topic Identification Methods for Arabic Language, RANLP05 : Recent Advances in Natural Language Processing ,pp. 14-17, 21-23 september 2005, Borovets, Bulgary. More useful references to check: ------------------------------------------- https://sites.google.com/site/mouradabbas9/corpora

AILOKS is an acronym for Artificial Intelligence Linguistic Object Knowledge System. This dictionary is aimed to facilitate advanced NLP, translation engines and provide an effective dictionary interface to humans. This dictionary is Polylingual and should prove useful to language students, linguists and translators alike. It is part of a series of interrelated projects.

Web service providing access to the Autshumato Machine Translation (MT) and other Moses Statistical MT systems. Functionality includes: - Automatic sentence, document, web page translation. - Improvements for translations. - Reviewer requests and interface to review improvements - Connection to the latest version of the Autshumato ITE, Post Edits done on inserted automatic translations are automatically submitted to the MTWS. - Administration interface to add users, reviewers and MT systems. - Exposed API for all of the services. - Ability to log into the system using your Google or Facebook ID. - All requests are logged by IP. Licensed under the GNU GPL v3 (or later): http://www.gnu.org/licenses/gpl-3.0.txt

Edge Translate is a simple and practical translation plugin that supports mainstream browsers such as Chrome, Firefox, and 360 Secure Browser. The main purpose of our plugin is to assist users in reading foreign literature. To this end, we have followed the principle of the user's reading experience first, and made the following efforts. We use the API provided by Google Translate to translate words and sentences, which guarantees the accuracy of translation results to a certain extent. We support the translation of wording in PDF files, which breaks the dyslexia of many users when reading PDF documents (due to the Firefox browser's bug, this feature is temporarily unavailable on Firefox browser). We chose the friendly side pop-up to show the translation results. The pop-up display bar will push the user reading content to avoid blocking the content from affecting the reading. Please refresh the page that needs to be translated after installation or update!

JSON to Go is a browser-based developer tool that converts JSON samples into Go struct definitions. It is designed to save Go developers time when working with APIs, configuration files, or external JSON payloads. Users paste JSON into the tool, and it generates a matching Go type that can be copied into a project. The tool makes reasonable assumptions about field names, types, nested objects, arrays, and struct tags, but it still expects users to review the output before using it in production. It is related to curl-to-go and fits the same lightweight, practical workflow for developers translating common web data into Go code. Its main value is speed, especially when prototyping clients for JSON-based APIs.

This program is a web application to collect and organize data of text analysis. It works with sets of texts and the analysis are done on portions of the length of a sentence. One of the preprocessing modules is based on CoGroo (A LibreOffice & OpenOffice.org Portuguese Grammar Checker).