A Computational Account of Bilingual Aphasia Rehabilitation

Autor/inn/en	Kiran, Swathi; Grasemann, Uli; Sandberg, Chaleece; Miikkulainen, Risto
Titel	A Computational Account of Bilingual Aphasia Rehabilitation
Quelle	In: Bilingualism: Language and Cognition, 16 (2013) 2, S.325-342 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1366-7289
DOI	10.1017/S1366728912000533
Schlagwörter	Semantics; Aphasia; Language Acquisition; Bilingualism; Patients; Naming; Computational Linguistics; Rehabilitation; English; Spanish; Language Proficiency; Phonology; Networks; Prediction; Transfer of Training; Outcomes of Treatment; Validity; Second Language Learning; Speech Therapy + Suchen Sie Ihr Suchwort? Semantik; Expressive Aphasie; Aphasie; Sprachaneignung; Spracherwerb; Bilingualismus; Patient; Linguistics; Computerlinguistik; English language; Englisch; Spanisch; Language skill; Language skills; Sprachkompetenz; Fonologie; Vorhersage; Training; Transfer; Ausbildung; Gültigkeit; Zweitsprachenerwerb; Entwicklungsproximale Sprachtherapie; Logotherapie
Abstract	Current research on bilingual aphasia highlights the paucity in recommendations for optimal rehabilitation for bilingual aphasic patients (Edmonds & Kiran, 2006; Roberts & Kiran, 2007). In this paper, we have developed a computational model to simulate an English-Spanish bilingual language system in which language representations can vary by age of acquisition (AoA) and relative proficiency in the two languages to model individual participants. This model is subsequently lesioned by varying connection strengths between the semantic and phonological networks and retrained based on individual patient demographic information to evaluate whether or not the model's prediction of rehabilitation matches the actual treatment outcome. In most cases the model comes close to the target performance subsequent to language therapy in the language trained, indicating the validity of this model in simulating rehabilitation of naming impairment in bilingual aphasia. Additionally, the amount of cross-language transfer is limited both in the patient performance and in the model's predictions and is dependent on that specific patient's AoA, language exposure and language impairment. It also suggests how well alternative treatment scenarios would have fared, including some cases where the alternative would have done better. Overall, the study suggests how computational modeling could be used in the future to design customized treatment recipes that result in better recovery than is currently possible. (As Provided).
Anmerkungen	Cambridge University Press. The Edinburgh Building, Shaftesbury Road, Cambridge, CB2 8RU, UK. Tel: 800-872-7423; Tel: 845-353-7500; Tel: +44-1223-326070; Fax: 845-353-4141; Fax: +44-1223-325150; e-mail: subscriptions_newyork@cambridge.org; Web site: http://www.cambridge.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10