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Updated: Dec 26, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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One language or two? Navigating cross-language conflict in statistical word segmentation.

Dylan M Antovich1, Katharine Graf Estes1

  • 1University of California, Davis, Davis, CA, USA.

Developmental Science
|March 8, 2020
PubMed
Summary
This summary is machine-generated.

Bilingual infants can segment words from two languages simultaneously, even with conflicting cues. Early bilingualism enhances statistical learning for word segmentation, crucial for language acquisition.

Keywords:
bilingualismstatistical learningword segmentation

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Area of Science:

  • Developmental Psychology
  • Cognitive Neuroscience
  • Linguistics

Background:

  • Bilingual infants must differentiate between languages to achieve proficiency.
  • Conflicting linguistic cues can challenge word segmentation in bilinguals.
  • Despite challenges, bilingual infants often match monolinguals in word learning timelines.

Purpose of the Study:

  • To investigate if 16-month-old infants can perform statistical word segmentation in dual speech streams.
  • To determine if bilingual infants can track syllable co-occurrence regularities across two artificial languages with conflicting information.

Main Methods:

  • Utilized a dual speech stream statistical word segmentation task.
  • Assessed 16-month-old infants' ability to identify word boundaries using syllable co-occurrence statistics.
  • Employed two artificial languages with conflicting statistical regularities.

Main Results:

  • Bilingual infants successfully segmented the dual speech streams using statistical regularities.
  • Monolingual infants did not demonstrate segmentation abilities in the dual stream task.
  • No significant differences were found between groups in secondary cognitive and linguistic measures.

Conclusions:

  • Early bilingual experience facilitates infants' ability to process statistical regularities in speech.
  • Bilingual infants show enhanced statistical learning capabilities for word segmentation.
  • Real-world bilingual exposure predicts performance in complex language segmentation tasks.