How to satisfy data-hungry machine learning

How to satisfy data-hungry machine learning

Machine learning requires large quantities of labeled training data (for more insights, read more in this post). That means, in order to reach acceptable performance, current speech recognition systems training demands thousands of hours of transcribed speech. For...
A Yummy Piece of Cake

A Yummy Piece of Cake

What does machine learning in the language field have to do with a cake, you might ask yourself? And how does it come that in the end we can produce better subtitles? Don’t look any further- read on! Let them be cake! Facebook’s AI Director Yann LeCun...
Diving into Infoboxes & Knowledge Graphs

Diving into Infoboxes & Knowledge Graphs

We all like infoboxes – Google uses them and so does Wikipedia, Bing, and DuckDuckGo. But how do you add infoboxes to your own content? To do so, you first have to distill all your content into a knowledge graph, and then you can link the content to the...
Spoken Languages – Learn like a child

Spoken Languages – Learn like a child

Making “sense” of speech with Curriculum Learning Methods Humans need about two decades to be trained as fully functional adults of our society. Quite some time and still pretty fast in contrast to where we are, if we want to copy the learning curve from a human to a...