Identifying Bilingual Semantic Neural Representations across Languages

Autor/inn/en	Buchweitz, Augusto; Shinkareva, Svetlana V.; Mason, Robert A.; Mitchell, Tom M.; Just, Marcel Adam
Titel	Identifying Bilingual Semantic Neural Representations across Languages
Quelle	In: Brain and Language, 120 (2012) 3, S.282-289 (8 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0093-934X
DOI	10.1016/j.bandl.2011.09.003
Schlagwörter	Brain Hemisphere Functions; Semantics; Nouns; Classification; Bilingualism; Identification; Transfer of Training; Language Processing; Diagnostic Tests + Suchen Sie Ihr Suchwort? Semantik; Classification system; Klassifikation; Klassifikationssystem; Bilingualismus; Identifikation; Identifizierung; Training; Transfer; Ausbildung; Sprachverarbeitung; Diagnostic test; Diagnostischer Test
Abstract	The goal of the study was to identify the neural representation of a noun's meaning in one language based on the neural representation of that same noun in another language. Machine learning methods were used to train classifiers to identify which individual noun bilingual participants were thinking about in one language based solely on their brain activation in the other language. The study shows reliable (p less than 0.05) pattern-based classification accuracies for the classification of brain activity for nouns across languages. It also shows that the stable voxels used to classify the brain activation were located in areas associated with encoding information about semantic dimensions of the words in the study. The identification of the semantic trace of individual nouns from the pattern of cortical activity demonstrates the existence of a multi-voxel pattern of activation across the cortex for a single noun common to both languages in bilinguals. (Contains 3 tables and 5 figures.) (As Provided).
Anmerkungen	Elsevier. 6277 Sea Harbor Drive, Orlando, FL 32887-4800. Tel: 877-839-7126; Tel: 407-345-4020; Fax: 407-363-1354; e-mail: usjcs@elsevier.com; Web site: http://www.elsevier.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10