A research team wants to build a language model that excels at proofreading by understanding the grammatical and contextual relationships between all words in a sentence. They are considering two training methods:

Method 1: The model is given the first part of a sentence (e.g., 'The cat sat on the') and must predict the next word (e.g., 'mat').

Method 2: The model is given a full sentence with some words removed (e.g., 'The [BLANK] sat on the [BLANK]') and must predict the missing words (e.g., 'cat', 'mat').

Evaluate which method is more suitable for the team's goal. Justify your choice by explaining how the information available to the model during training differs between the two methods and why that difference is important for the proofreading task.