Machine translation
The Language Technologies Unit has developed machine translation tools that use the Marian NMT framework. The framework uses modern neural technology to translate texts.
We’ve provided a special GitHub project for Marian NMT here. This project contains everything needed to run your own local Marian NMT neural machine translation engine. All software is open source and available under the terms of the MIT license.
To run local machine translation successfully, you will need a computer with an NVIDIA graphics card as well as software packages such as Docker and Python already installed.
The machine uses translation models that have been specially trained by the Language Technologies Unit to translate from English to Welsh.
The project provides two methods of using the machine translation. The first, through a local API service, which enables integration into translation tools (if the software allows). The second, through a live demo that is available through a simple web page that runs publicly.
At the moment, it is possible to translate the text of two specific fields, namely the field of Health and care and the field of Legislation.
Marian NMT
The Language Technologies Unit has developed machine translation tools that use the Marian NMT framework.
The framework uses modern neural technology to translate texts. Click the link to try it out or follow the link below to the Marian NMT project on GitHub.
This project contains everything needed to run your own local Marian NMT neural machine translation engine. All software is open source and available under the terms of the MIT license. To run local machine translation successfully, you will need a computer with an NVIDIA graphics card as well as software packages such as Docker and Python already installed.
The machine uses translation models that have been specially trained by the Language Technologies Unit to translate from English to Welsh.
The project provides two methods of using the machine translation. The first, through a local API service, which enables integration into translation tools (if the software allows). The second, through a live demo available through a simple web page that runs publicly here:
At the moment, it is possible to translate the text of two specific fields, namely the field of Health and care and the field of Legislation.
Moses-SMT
Moses-SMT is an open source translation engine developed mainly at Edinburgh University. Research and development for Moses-SMT was funded by the European Union.
it’s a powerful product which allows you to develop your own machine translation systems by training them with corpora of paralell texts of translations. It allows you to create engines that are specifically adapted to the needs of your translation projects, ensuring that they produce high quality translations.
Moses-SMT is useful in situations where translation memories are already being used successfully to save time and money. For many translators, Moses-SMT offers not only improved translations compared to ordinary translation engines, but has also proven that it’s possible to be far more productive using a post-editing approach than by using only translation memory systems. For this reason, the use of Moses-SMT has recently increased substantially within the international translation industry.
Using the Language Technologies Portal it’s now possible for anyone, but particularly those working in the Welsh< >English translation industry, to benefit from using Moses-SMT in their projects, product or translation services.
We have provided these resources so that you will not need much technological ability or knowledge.