by kseniaskriptchenko | Dec 30, 2022 | AI, BIAS, Diversity
Many industries, especially the media, are enthusiastic about using machine learning (ML) to enhance the analysis of large datasets. Annotated data is essential for machine learning and artificial intelligence (AI) training. While incorrectly annotated, poorly chosen,...
by kaymacquarrie | Nov 3, 2022 | News, HLT
What’s new in the multilingual newsroom in terms of AI-supported tools? How to produce content which is available in many languages and formats and which is accessible to people with disabilities? How to monitor vast amounts of data and cluster information in...
by kseniaskriptchenko | May 26, 2022 | AI, News, HLT
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...
by Tugtekin Turan | Dec 24, 2021 | News, HLT
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...
by kseniaskriptchenko | Jul 20, 2021 | News, HLT
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...
