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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Simultaneous segmentation and generalisation of non-adjacent dependencies from continuous speech.

Rebecca L A Frost1, Padraic Monaghan1

  • 1Department of Psychology, Lancaster University, Lancaster LA1 4YF, UK.

Cognition
|December 7, 2015
PubMed
Summary

New research shows that speech segmentation and grammatical generalization in language acquisition rely on similar statistical processing. This suggests a unified mechanism for word identification and understanding sentence structure during language learning.

Keywords:
Artificial grammar learningGrammatical processingLanguage acquisitionSpeech segmentationStatistical learning

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Area of Science:

  • Cognitive Science
  • Psycholinguistics
  • Computational Linguistics

Background:

  • Language acquisition involves segmenting continuous speech into words and learning grammatical rules.
  • A central debate concerns whether these processes are sequential or simultaneous, driven by distinct or shared neural computations.

Purpose of the Study:

  • To investigate the relationship between speech segmentation and grammatical generalization in artificial language learning.
  • To determine if the same statistical information can simultaneously support both word identification and structural generalization.

Main Methods:

  • Utilized a classic artificial language learning paradigm with non-adjacent dependencies.
  • Participants learned an artificial language from continuous speech input.
  • Tested generalization over novel speech stimuli not previously encountered.

Main Results:

  • Participants successfully used statistical information to segment speech and identify words.
  • The same statistical information enabled generalization of grammatical structures to novel speech.
  • Evidence suggests a shared processing mechanism for both tasks.

Conclusions:

  • Speech segmentation and grammatical generalization appear to be supported by similar statistical processing mechanisms.
  • This finding offers an economical explanation for simultaneous word segmentation and structural learning.
  • Highlights the role of statistical learning in early language acquisition.