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This chapter explores how children develop the ability to parse sentences in real-time and its impact on language learning, discussing properties of adult sentence processing and introducing a unique property of child sentence processing as ballistic. The chapter highlights the consequences of the child's developing parser for language acquisition, including potential mismatches between perceived and intended grammatical structures. It emphasizes the importance of understanding both the input and intake for language learning mechanisms.

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Abstract

Abstract This chapter focuses on the development of children’s ability to parse sentences in real time, and its effects on language learning. Properties of adult sentence processing—being incremental, predictive, and statistical—are discussed alongside experiments demonstrating that child parsing is characterized by the same properties. An additional property of child sentence processing is also introduced: It is ballistic, in the sense that children show difficulty revising parsing decisions once they have been made. The consequences of the child’s developing parser for language acquisition are then considered. In particular, sometimes what the child perceives to be the grammatical structure of a sentence may not be the intended grammatical structure. Consequences for theorists are also discussed, namely that it is important to understand not just the input (the data available) but also the intake to the learning mechanism (the input as it is processed by children).

Key findings

  • Children's sentence parsing is incremental, predictive, and statistical, similar to adults
  • Child sentence processing is ballistic, making it difficult for them to revise parsing decisions
  • The developing parser affects language acquisition, potentially leading to incorrect grammatical structure perceptions

Keywords

ParsingNatural language processingSentenceArtificial intelligenceLanguage acquisitionProperty (philosophy)

Identifiers

Journal
A Course in First Language Acquisition
Year
2026