Kielimallinnus
Kielimallinnus, also known as language modeling, is a fundamental concept in natural language processing (NLP). It refers to the process of building statistical models that can predict the probability of a sequence of words. In essence, a language model learns the patterns and structure of a language to understand and generate human-like text.
The core idea behind kielimallinnus is to assign a probability to a given sentence or a sequence
Modern kielimallinnus has moved towards more sophisticated neural network architectures, such as recurrent neural networks (RNNs)
The applications of kielimallinnus are vast. It powers machine translation systems, enabling computers to translate text