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Updated: Jan 7, 2026

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Examining Bilingual Language Control Using the Stroop Task
Published on: February 26, 2020
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Bilinguals process incoming words using distributions across both languages.
Sarah Frances Phillips1,2, Ailís Cournane2
1Department of Neurology, Georgetown University Medical Center, Washington, DC, USA.
Summary
Bilinguals
Area of Science:
- Psycholinguistics
- Cognitive Science
- Linguistics
Background:
- Bilingual language processing differs from monolingual processing due to unique linguistic experiences.
- Code-switching in bilinguals introduces variability in word co-occurrence patterns.
- Lexical distribution influences how bilinguals process language online.
Purpose of the Study:
- To investigate how the distributional properties of Spanish determiners (el, la) and the English determiner (the) affect Spanish-English bilinguals' predictive processing.
- To examine the role of determiner-noun distributional information in facilitating noun prediction and integration.
- To compare bilinguals' online processing with established corpus data.
Main Methods:
- Utilizing a visual world paradigm to track participants' eye movements.
- Analyzing the predictive and integrative abilities of Spanish-English bilinguals based on determiner exposure.
- Employing cluster permutation tests to assess statistical significance.
Main Results:
- Replication of a previously observed asymmetry in Spanish-English bilinguals regarding masculine 'el' and feminine 'la' determiners.
- Significant differences found in noun prediction and integration based on whether 'el', 'la', or 'the' preceded the noun.
- Bilinguals demonstrate distinct processing patterns influenced by the specific determiner context.
Conclusions:
- Bilinguals' online language processing is modulated by the distributional norms encountered in both single-language and code-switched environments.
- The relative frequency and co-occurrence of determiners across languages shape predictive processing.
- Findings suggest bilinguals leverage cross-linguistic distributional information to enhance real-time language comprehension.
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