When working with MateCat, you find a clean and simple interface. It lets you read the text effortlessly and focus on its meaning to complete your translation fast. We achieved that by getting rid of the clutter you find in traditional CAT tools. No unnecessary buttons, icons or extras when you don’t need them.
Now we’ve taken it a step further and removed the tags.
Tags slow you down while reading and understanding the source sentence. When typing the translation, tags force you to interrupt your cognitive process to decide what to do with them. Removing tags will help you deliver better quality translations in less time.
We analysed millions of segments processed by professionals like you. We observed how they handled all types of tags and used Machine Learning techniques to let Matecat learn where to place them.
The user interface is now even cleaner than in previous MateCat versions and you won’t be distracted by those heinous tags that get in the way of the source text and your translation.
MateCat hides the tags in your segments, and the Translated button is replaced by a Guess Tags button. Click on that after translating the segment: MateCat will display the tags in the source and place them in the right position in the target segment. In the rare event that MateCat misplaces the tags, you can still fix them and then confirm the translation by clicking on Translated.
With this first release, MateCat can successfully identify the tag positions for the following language pairs (both ways) and we’ll continue adding more:
- English <> German
- English <> Spanish
- English <> French
- English <> Italian
- English <> Portuguese
- English <> Russian
- French <> Italian
- German <> Italian
- German <> French
- Italian <> Spanish
With MateCat, machines and humans work together in such a way that humans focus on creative and cognitive processes rather than wasting time on repetitive tasks which are more suited to machines.
You have the power of Machine Learning at your fingertips while keeping full control of the translation process.