Are you an online education provider with large volumes of text?
Our web service helps you reach a wider audience by instantly translating texts and documents, using a simple web API.
Using cutting-edge machine learning software, our service provides results that come close to human translations. Your text is processed within seconds.
Try the form below to see for yourself.
While most translation services aim to be general purpose, Translexy has been optimised for education content. We took great care in designing the neural networks, using thousands of selected books and lectures as training data.
To increase the fluency and accuracy of the translations we developed the first automated translation system for education based on Neural Machine Translation.
We offer deals to suit your organization’s needs and budget. Our basic service is available for free. Get in touch with us if you have any additional questions or extra needs. Get in touch.
The API is easy to use. You don’t have to extract text from your document, just send plain text, HTML or documents and get back translated text. The scale is optimized for almost any volume.
Upload a small .txt or .html or .vtt or .docx or .pptx or .xlsx file and we'll send you the result per email. (Rest assured that your email address won't be used for other purposes.)
Detailed instructions are available as pdf.
Note: In order to use the API, you will need an account. Get in touch.
Please note that this service is still under development. Talk to us about current limitations and upcoming features.
Translexy is an API that enables you to translate your content. It is already integrated into MOOC platforms and video repositories to create new educational experiences. It also offers tools for developers and researchers. Translexy API is the first free and open translation service to use Neural Machine Translation Models (NMT) for educational content, which immensely improves translation results. NMT has recently emerged as a disruptive technology and has become the dominant paradigm in machine translation. Translexy
Discover below how you can use, integrate and customize this service in your own application or MOOC solution. Translexy API can be used on its own or its results can be customized for pre-publishing with our partners.
Translexy API provides translation from English into nine European and two BRIC, languages, namely German (DE), Italian (IT), Portuguese (PT), Dutch (DU), Bulgarian (BG), Greek (EL), Polish (PL), Czech (CS), Croatian (CR), Russian (RU) and Chinese (ZH).
Business solution: Education publishers, MOOC providers and Video repositories need to offer high-quality, integrated multilingual educational services to their customers. Translexy provides this service for all types of textual data that is language independent in nature and addresses all types of text genres.
Market solution: The European Digital Single Market is still fragmented by language barriers that hamper a wide penetration of cross-border commerce, social communication and exchange of cultural content. Current machine translation solutions typically perform well only for a limited number of target languages and for a given text type. Therefore, Translexy provides a unique solution to tackle scalable, sustainable translation for the education market.
In 2015, nine European Institutions joined forces to solve the problem of mass translation in education. They designed a European project called TraMOOC which provides a system and solution that is intended to overcome the language barriers in MOOCs, and is expected to deal with huge volumes, a big variety of languages and text styles, and deliver results in a reasonable time. Special attention was paid to selecting 9 EU and 2 BRIC languages that have "fragmentary" or "weak/no" machine translation support according to the META-net language white papers.
Launched on February 1st, 2015, by a consortium made up of six European universities, Humboldt Universität zu Berlin (UBER), Dublin City University (DCU), University of Edinburgh (UEDIN), Ionian University (IURC), Stichting Katholieke Universiteit (Radboud University), Stichting Katholieke Universiteit Brabant (Tilburg University), two industrial partners, Deluxe Media Europe (DME) and EASN-Technology Innovation Services (BVBA), and a not-for-profit, Knowledge 4 All Foundation Ltd (K4A), it will run until January 31st, 2018.
Machine translation: The high quality of translations is achieved through a hybrid translation schema that combines automatic processes (i.e. text processing tools and linguistic resources that are adapted to cope with multi-genre MOOC educational texts) together with limited, focused human intervention, i.e. crowdsourcing in a novel time- and cost-efficient setup for evaluating the generated translation.
Implicit and Explicit evaluation: We have established a new, standardized, multi-level evaluation schema for determining the value of the produced machine translation. Taking into account the idiosyncrasies of the particular text type and its multi-genre character, the evaluation schema consists of a human and an automatic aspect, as well as a traditional explicit (direct) and an innovative implicit mode, that will be facilitated via separate text mining and topic identification.
Crowdsourcing: We employ crowdsourcing activities for infrastructure enhancement and translation evaluation where human intervention is required. The choice of crowdsourcing for handling these tasks is supported due to its direct link with Open Innovation, with crowd wisdom and co-creation.
Test the tools and solutions created by the TraMOOC project with appropriate license models (a development license, a research license or an open license for testing purposes), and software packages for the development of state-of-the-art systems for language translation of educational texts.
The translation model training processes, the resource bootstrapping processes, and the text mining methodologies, which are the result of the TraMOOC project, form a library of algorithms that will prove invaluable to the scientific community.
Developers, Businesses, Educators can use Translexy API to play with language pairs and analyze the value of having their content translated into other languages.
Machine Translation developers can use Translexy as a unified workbench for integrating MT solutions and a platform for promoting, testing and comparing their solutions.
Language Technology Engineers and community can get access to accurate and wide-coverage linguistic infrastructure for less widely spoken languages. This infrastructure includes exploitation, enrichment, and adaptation policies on bootstrapping, cross-language, and interdisciplinary approaches to create new or enrich/adapt available tools and resources.
MOOC platform use case / openHPI
openHPI , the educational Internet platform of the Hasso Plattner Institute in Potsdam, Germany, runs MOOCs – Massive Open Online Courses – which are one of the most innovative and most flexible forms of e-learning. Available free via the Internet, learners can participate in high-quality online courses on the subject of Information Technology, Digital Transformation, and Innovation. Learning in close contact with their peers by means of fora, collaboration spaces, and interactive exercises is an important part of the concept.
In order to reach new audiences and better support existing, non-english speaking audiences, an automated translation tool is required. Next to the translation of videos, textual content consists of reading material, quizzes and assignments. User contributed content mainly consists of forum posts, allowing multi-lingual discussions would be a nice-to-have option. All translations, currently, are done manually with some tool support for subtitling. The platform’s video player supports the display of transcripts and subtitles in any number of languages.
Video platform use case / VideoLectures.Net
The newest breakthroughs in business, technology, and science are disseminated through a rich network of numerous yearly global conferences. However, only a tiny fraction of the interested scientific community has access to this knowledge, which exacerbates both an intellectual and developmental gap among those talented individuals with and without access. VideoLectures.Net fills this gap with its service.
VideoLectures.Net is making up-to-date knowledge available to everyone, regardless of their ability to attend expensive scientific events, from all disciplines. This includes video recording the top scientific events world-wide, translating the content into major world languages (through automatic subtitling), and making the content available freely to anyone with an internet connection. The challenge is how to serve the global education and learning community by using open and state-of-the-art translation technologies.