Day 118 of 120 Language Difficulty 8/10

Language must compress input now or lose it forever

Quick answer

Language must compress input now or lose it forever. Today's question (Now-or-Never bottleneck) asks about a finding from Christiansen, M. H., & Chater, N. in 2016. The correct option is Recode incoming linguistic input into more abstract chunks immediately, because raw acoustic and phonological detail decays within seconds — full explanation, primary source, and glossary cross-links below.

Today's question

Christiansen and Chater's (2016) Now-or-Never bottleneck argues that language processing must:

  1. A Buffer entire utterances in working memory before any interpretation
  2. B Recode incoming linguistic input into more abstract chunks immediately, because raw acoustic and phonological detail decays within seconds
  3. C Wait for the speaker to finish before beginning any analysis
  4. D Process all sentences in reverse order
Reveal the answer and explanation

Correct: B — Recode incoming linguistic input into more abstract chunks immediately, because raw acoustic and phonological detail decays within seconds

Christiansen and Chater (2016) marshalled evidence that auditory and phonological traces decay within seconds, forcing comprehenders to compress incoming input into higher-level representations (lexical, syntactic, conceptual) almost immediately, on a 'now-or-never' basis. The bottleneck reframes long-running debates: language acquisition becomes a chunking problem; sentence parsing must be incremental and predictive; and many cross-linguistic regularities follow from the pressure to package units before they decay. The view links the architecture of language directly to the timing constraints of working memory.

About the source

Christiansen, M. H., & Chater, N. (2016). The Now-or-Never bottleneck: A fundamental constraint on language. Behavioral and Brain Sciences, 39, e62.

Every Cognition Bible question cites a primary source — a paper, book chapter, or monograph that exists, that we can point to on Google Scholar, and whose finding the question accurately summarizes. No fabricated authority strings, no name-drops without paper-level grounding.

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