11. Language Choice in Bilingual Aphasia: Memory and Emotions

2012 ◽  
pp. 171-186 ◽  
Author(s):  
Carmit Altman ◽  
Mali Gil ◽  
Joel Walters
Author(s):  
Camelia Suleiman

Arabic became a minority language in Israel in 1948, as a result of the Palestinian exodus from their land that year. Although it remains an official language, along with Hebrew, Israel has made continued attempts to marginalise Arabic on the one hand, and secutise it on the other. The book delves into these tensions and contradictions, exploring how language policy and language choice both reflect and challenge political identities of Arabs and Israelis. It combines qualitative methods not commonly used together in the study of Arabic in Israel, including ethnography, interviews with journalists and students, media discussions, and analysis of the production of knowledge on Arabic in Israeli academia.


2019 ◽  
Vol 2 (2) ◽  
pp. 1-7
Author(s):  
Andi Samsu Rijal ◽  
Andi Mega Januarti Putri

The essence of language is human activity. Communication with language is carried out through two basic human activities; speaking and listening during the interaction in a group of people. Immigrants in Makassar city communicate with immigrant communities and Makassar people. They used English and Indonesia to communicate with others. The aims of this article were to find out determinant factors of English as language choice among Unaccompanied Migrant Children (UMC) in Makassar and why they used English as their language choice to communicate with other people out of them. The data were taken from UMC in the shelter under the auspices of Makassar’s Social Office and in the public area of Makassar. This research was a qualitative approach; it was from a sociolinguistic perspective and focuses its analysis with the language choice among UMC. This research showed that most immigrants chose English as their language choice since they were in Makassar because they have acquired better than other international language and it has been mastered naturally by doing social interaction among themselves and people outside their community. UMC had more difficulties to socialize with Indonesian than the adult of Immigrants. Other than their lack of language mastery, they also have the anxiety to adapt to other immigrants and Makassar people. English was used by UMC to show their status as a foreigner who lived in a multicultural situation. Language becomes a power for a human being and it becomes a social identity for language user in one community. During the interaction of UMC in Makassar city, the role of English as an International language is shown.


2016 ◽  
Vol 11 (1) ◽  
pp. 107-129
Author(s):  
Raquel Casesnoves Ferrer ◽  
Josep À. Mas Castells

Author(s):  
Marco Calabria ◽  
Nicholas Grunden ◽  
Mariona Serra ◽  
Carmen García-Sánchez ◽  
Albert Costa

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Uli Grasemann ◽  
Claudia Peñaloza ◽  
Maria Dekhtyar ◽  
Risto Miikkulainen ◽  
Swathi Kiran

AbstractPredicting language therapy outcomes in bilinguals with aphasia (BWA) remains challenging due to the multiple pre- and poststroke factors that determine the deficits and recovery of their two languages. Computational models that simulate language impairment and treatment outcomes in BWA can help predict therapy response and identify the optimal language for treatment. Here we used the BiLex computational model to simulate the behavioral profile of language deficits and treatment response of a retrospective sample of 13 Spanish-English BWA who received therapy in one of their languages. Specifically, we simulated their prestroke naming ability and poststroke naming impairment in each language, and their treatment response in the treated and the untreated language. BiLex predicted treatment effects accurately and robustly in the treated language and captured different degrees of cross-language generalization in the untreated language in BWA. Our cross-validation approach further demonstrated that BiLex generalizes to predict treatment response for patients whose data were not used in model training. These findings support the potential of BiLex to predict therapy outcomes for BWA and suggest that computational modeling may be helpful to guide individually tailored rehabilitation plans for this population.


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