Open Source Windows Machine Translation Software - Page 2

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.

A project that aims to create reusable components (C++ libraries, COM components, and Edit controls) for Phonetic Transliteration of Indian languages, such as Telugu, Tamil, Kannada etc.

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.

Align parallel corpora on sentence level

Align parallel data at sentence level and also automatic creation of .tmx files for use with Autshumato ITE

Distributed phrase-based machine translation training tool based on Hadoop.

Multilingual Content Synchronization with Wikis: CoSyne is a Research and Technological Development project co-funded by the European Union. Details: http://cosyne.eu

CompE Toolkit allows the user to seamlessly convert between binary, decimal, hexadecimal, and 32-bit floating point representation. It uses a simple, user-friendly interface designed for maximum efficiency and minimal clutter.

Cunei is a data-driven machine translation system that builds dynamic, statistical models based on instances of known translations found in a corpus.

This application was developed by Incentro to satisfy requests by clients for a sentiment analyser for the Dutch language. It is currently in it's alpha stage and we expect to have a beta release by November 2012. If you would like to help with the development or testing of this product please contact us at +31[0]15 76 40 750 - of info {at} incentro.com. Deze applicatie is ontwikkeld door Incentro om te voldoen aan klantaanvragen voor een sentimentanalyse module voor de Nederlandse taal. Momenteel is de module in alpha versie beschikbaar en een beta versie wordt verwacht in november 2012. Als u ons wilt helpen bij het ontwikkelen of testen van deze module, neem dan contact op met Incentro via +31[0]15 76 40 750 - of info {at} incentro.com.

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 flash (Falsh7, AS 2.0) based dictionary reader intended for portable devices, especially the Cowon S9.

Fast Unsupervised Sentence Aligner described in "Improved unsupervised sentence alignment for symmetrical and asymmetrical parallel corpora", COLING 2010. NEWS : release 1.0b : bug fixed (release1.0a deprecated).

This Program helps to translate words and text via Google Translate.

A JAVA Arabic stemmer that is based on Shereen Khoja algorithm. This java class offers a function called stemWrod which takes an arabic word and return the stem of it.

Laravel Translation is a package for Laravel that allows you full control over your translations when using Laravel's localization functionality. The package allows you to manage your translations using either native file based translations but also provides a database driver which is useful in multi-server setups. It exposes a user interface allowing you to update existing and add new translations to your application.

This project is devoted to the development of natural language processing tools and resources for the Lingala language, which is spoken by tens of millions of people in central Africa.

Translate Chinese to English using CEDICT (cantonese dictionary). Demonstrate the speed of C# and Linq. Copy the chinese text from any browser/application to Windows clipboard and see the translation.

mgiza has now moved to github https://github.com/moses-smt/mgiza

This is a tutorial, the purpose is to introduce the basic knowledge and modeling methods of machine translation systematically, and on this basis, discuss some cutting-edge technologies of machine translation (formerly known as "Machine Translation: Statistical Modeling and Deep Learning") method"). Its content is compiled into a book, which can be used for the study of senior undergraduates and graduate students in computer and artificial intelligence related majors, and can also be used as reference material for researchers related to natural language processing, especially machine translation. This book is written in tex, and all source codes are open. This book is divided into four parts, each of which consists of several chapters. The order of the chapters refers to the time context of the development of machine translation technology, while taking into account the internal logic of the machine translation knowledge system.

PRDL is one of the core components within the ENDORSE project. The scope of the language is to encompass clauses from data protection legislation and enterprise privacy policies in order to e.g. derive data access decisions automatically based on the enterprise privacy policies (EPPs). There have been many initiatives for expressing privacy rules and legal restrictions into a computable way. The attempt of PRDL is to present a collaborative result towards a multistakeholder language. The goal was that PRDL should be sufficiently expressive to define EPPs for SMEs, it should link the wording of the data privacy laws of different European countries, and it should be represented in natural language and therefore should be easy to understand. Additionally it should be able to express the workflows that have to be conducted within the helping wizards. After all, it should be automatically or semi automatically executable by a rule engine.

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. Our work ranges from basic research in computational linguistics to key applications in human language technology, and covers areas such as sentence understanding, automatic question answering, machine translation, syntactic parsing and tagging, sentiment analysis.