A language model is generating the next word in a sequence and has calculated the initial probabilities for six potential words: 'the' (0.40), 'a' (0.25), 'an' (0.15), 'some' (0.10), 'any' (0.05), and 'every' (0.05). The system uses a decoding strategy where it only considers the top 4 most likely candidates for the final selection. After discarding the other candidates, the probabilities of the remaining words are adjusted to sum to 1. What is the adjusted probability for the word 'a'?

A text generation model uses a method to select the next word where it only considers a small, fixed number of the most probable options. Arrange the following steps to accurately describe the sequence of this method.

Inferring Decoding Parameters