Naturalistic language comprehension often involves interpretations that go beyond literal meaning. In continuous narratives, literal and non-literal meanings are tightly intertwined, making them difficult to distinguish computationally. Here, we combined literal sentence representations and human-annotated non-literal interpretations for model-brain alignment. Using fMRI data recorded during passive listening to the Chinese version of The Little Prince, we annotated sentences containing non-literal meaning with human-written interpretations of their implied meaning. We then derived the literal and non-literal representations from LLaMA3.1-8B and evaluated their correspondence with neural activity using whole-brain encoding models. Literal representations aligned strongly with left-lateralized frontotemporal regions, whereas non-literal interpretations showed broader right-hemisphere involvement. Combining the two further improved encoding performance in the bilateral temporal and dorsal frontal cortices, suggesting that naturalistic comprehension engages complementary levels of meaning.

Syntactic movement is a core concept in generative linguistics to account for word-order variation and long-distance dependencies, but its psychological and neurobiological status remains debated. Here, we test the neural reality of movement in English and Chinese by correlating brain activity during naturalistic listening with syntactic node counts, traces and word embeddings derived from X-bar style tree annotations. We find that deep structure significantly predicts neural responses in English but not in Chinese, providing partial support for movement-based accounts while revealing clear cross-linguistic differences.