What is the difference between a language model and a translation model?
A language model is a type of machine learning model that is trained to predict the likelihood of a sequence of words. It is trained on a large corpus of text and then used to generate new text that is similar in style and structure to the training data.
A translation model, on the other hand, is a type of machine learning model that is trained to translate text from one language to another.
It is trained on a parallel corpus of text, where each sentence is aligned with its translation in the target language. The model is then used to generate translations for new sentences. While both models are trained on text, they have different objectives and are used for different tasks.
