Which processing approach uses background information to predict the meaning of language that learners are going to listen to or read?

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Multiple Choice

Which processing approach uses background information to predict the meaning of language that learners are going to listen to or read?

Top-down processing relies on background knowledge, expectations, and the surrounding context to interpret language. When learners listen or read, they bring prior experience, topic familiarity, and discourse cues to the task, allowing them to predict what comes next, fill in gaps, and infer meanings of unfamiliar words from the context. This makes comprehension more efficient, especially in real-world listening or reading where you can’t rely on every detail being crystal clear. For example, if you know the passage is about weather, you’ll anticipate words like rain, temperature, forecast, and umbrella, which helps you grasp the overall message even if some vocabulary is unfamiliar. Bottom-up processing, by contrast, starts with decoding sounds and letters and builds up to meaning, which is not about using background information to predict content. The other options don’t describe a processing approach for predicting meaning from context: transactional language refers to interaction in communication, and syntagmatic relations describe how words combine in sequence rather than how meaning is predicted from background knowledge.

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