But they also come with certain challenges—time, effort, and cost. This limits the kind of applications that it could be put to, especially in a fast-paced business setting.
This is where machine translation steps in. Machine translation is a quick, scalable solution that works perfectly for high-volume and time-dependent tasks.
The quality of MT has improved significantly over the past few years, to the point that it has reshaped the whole industry. There are many new applications and use cases for MT today that were unthinkable just over half a decade ago. And with the help of post-editing, those use cases have only continued to grow.
In general, machine translation can fulfill three different purposes, each lebanon mobile database with different expectations regarding quality:
Assimilation
Dissemination
Communication
We’ll go over each one in more detail below, with some insight on how much post-editing may be needed in each case.
If you don’t know what machine translation post-editing is, you can check out our guide to machine translation post-editing here: What is MTPE?: An Introductory Guide For Businesses
Assimilation
In the context of assimilation, the purpose of MT is simply to help the user understand a text in a foreign language. Often there may be text you want to access that isn’t available in your language. This can include news articles, lecture or podcast transcripts, or blog posts, among other things.