Why do Arabic language programs fail to reach high accuracy levels? (2/4)
For machine learning to succeed, it is not enough to have huge data. Data also needs to be of high quality and designed in a way that approaches the problem properly.
For machine learning to succeed, it is not enough to have huge data. Data also needs to be of high quality and designed in a way that approaches the problem properly.
Despite the common features between languages, each language has its own characteristics, which makes the tendency to copy a computer solution from one language to another a process doomed to failure.