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Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

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Early L2 Spoken Word Recognition Combines Input-Based and Knowledge-Based Processing.

Seth Wiener¹, Kiwako Ito², Shari R Speer²

¹Department of Modern Languages, Carnegie Mellon University, USA.

Language and Speech

|March 22, 2018

Summary

Second language learners rapidly use statistical patterns in tonal languages, even with varied speakers. Increased acoustic variability makes learners rely more on learned language patterns than the incoming sound signal.

Keywords:

Mandarin Chinese Spoken word recognition lexical tone second language acquisition speaker variability

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Area of Science:

Psycholinguistics
Second Language Acquisition
Speech Perception

Background:

Investigates the interplay between statistical learning and acoustic signal reliance in L2 spoken word recognition.
Examines how early learners utilize segmental and suprasegmental cues and their frequencies in non-native word recognition.

Framework:

An artificial tonal language was developed with varying tone informativeness based on neighborhood density.
Stimuli mimicked Mandarin's uneven distribution of syllable+tone combinations, manipulating syllable frequency and tone co-occurrence probability.

Implementation:

English learners of Mandarin participated, with half trained on one speaker (low variability) and half on four speakers (high variability).
Behavioral (forced-choice judgments) and eye-tracking measures assessed the use of statistical regularities.

Implications:

Early L2 learners integrate statistical regularities and acoustic information for spoken word recognition, predicting based on co-occurrence distributions.
Higher acoustic variability (multi-speaker input) shifts reliance from the acoustic signal to learned statistical patterns of tone-syllable co-occurrences.