Mini Series on the history of machine translation! Find out how machine translation started and how statistical engines work in part 1 of the series.
Since I started working as a machine translation specialist, one of the most complex and interesting questions that impacted my daily work was this one: How can machine translation achieve human quality? This article is not a technical description of the numerous options you have to measure human quality, like BLEU score or other evaluation methods. No, in this post, I want to discuss a much more complicated question: What is human quality? Spoiler Alert: Human quality should be called Schrödinger’s quality instead, because it always has different states that are only distinguishable once they are in the past. I will present three reasons for this behavior.
In this blog post, you will find my learning resources and my comment on how they helped me develop. Other resources, recommendations are very much welcome!
I looked for a project in which data played a vital role, and where machine learning could be applied – mainly because data preparation and machine learning, as well as data visualization were areas where I wanted to improve my skills. While I meditated about this topic, I identified five aspects that stood out.
It is usually quite easy to get excited for a new topic, to delve into the basics and to learn just enough to recognize buzzwords around that new topic. However, in every learning journey, there comes the time where you stand at that metaphorical junction and have to decide where to go next.