An engineer is training a model whose task is to reconstruct an original sentence from a modified version of it. The engineer's primary goal is to force the model to learn the semantic meaning of the sentence, independent of the specific ordering of its words. Which of the following modification techniques, when applied to the input sentence, would be most effective for achieving this specific training objective?

Comparing Input Alteration Techniques

Evaluating a Training Strategy for a Summarization Model

Example of Token Reordering in Denoising Autoencoding