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Academic Paper

Title: Analyzing language samples of Spanish–English bilingual children for the automated prediction of language dominance
Author: T. Solorio
Institution: University of Alabama at Birmingham
Author: M. Sherman
Institution: University of Texas at Dallas
Author: Y. Liu
Institution: University of Texas at Dallas
Author: Lisa M Bedore
Institution: University of Texas at Austin
Author: E. D Peña
Institution: University of Texas at Austin
Author: Ana Iglesias
Institution: Universidade de Vigo
Linguistic Field: Psycholinguistics; Applied Linguistics; Computational Linguistics
Subject Language: English
Abstract: In this work we study how features typically used in natural language processing tasks, together with measures from syntactic complexity, can be adapted to the problem of developing language profiles of bilingual children. Our experiments show that these features can provide high discriminative value for predicting language dominance from story retells in a Spanish–English bilingual population of children. Moreover, some of our proposed features are even more powerful than measures commonly used by clinical researchers and practitioners for analyzing spontaneous language samples of children. This study shows that the field of natural language processing has the potential to make significant contributions to communication disorders and related areas.


This article appears IN Natural Language Engineering Vol. 17, Issue 3, which you can READ on Cambridge's site or on LINGUIST .

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