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Diglossic translanguaging
(2024)
This book examines how German-speaking Jews living in Berlin make sense and make use of their multilingual repertoire. With a focus on lexical variation, the book demonstrates how speakers integrate Yiddish and Hebrew elements into German for indexing belonging and for positioning themselves within the Jewish community. Linguistic choices are shaped by language ideologies (e.g., authenticity, prescriptivism, nostalgia). Speakers translanguage when using their multilingual repertoire, but do so in a diglossic way, using elements from different languages for specific domains
We discuss an intervention programme for kindergarten and school teachers' continuing education in Germany that targets biases against language outside a perceived monolingual ‘standard’ and its speakers. The programme combines anti-bias methods relating to linguistic diversity with objectives of raising critical language awareness. Evaluation through teachers' workshops in Berlin and Brandenburg points to positive and enduring attitudinal changes in participants, but not in control groups that did not attend workshops, and effects were independent of personal variables gender and teaching subject and only weakly associated with age. We relate these effects to such programme features as indirect and inclusive methods that foster active engagement, and the combination of ‘safer’ topics targeting attitudes towards linguistic structures with more challenging ones dealing with the discrimination of speakers.
For several decades, researchers have tried to explain how speakers of more than one language (multilinguals) manage to keep their languages separate and to switch from one language to the other depending on the context. This ability of multilingual speakers to use the intended language, while avoiding interference from the other language(s) has recently been termed “language control”.
A multitude of studies showed that when bilinguals process one language, the other language is also activated and might compete for selection. According to the most influential model of language control developed over the last two decades, competition from the non-intended language is solved via inhibition. In particular, the Inhibitory Control (IC) model proposed by Green (1998) puts forward that the amount of inhibition applied to the non-relevant language depends on its dominance, in that the stronger the language the greater the strength of inhibition applied to it. Within this account, the cost required to reactivate a previously inhibited language depends on the amount of inhibition previously exerted on it, that is, reactivation costs are greater for a stronger compared to a weaker language. In a nutshell, according to the IC model, language control is determined by language dominance.
The goal of the present dissertation is to investigate the extent to which language control in multilinguals is affected by language dominance and whether and how other factors might influence this process. Three main factors are considered in this work: (i) the time speakers have to prepare for a certain language or PREPARATION TIME, (ii) the type of languages involved in the interactional context or LANGUAGE TYPOLOGY, and (iii) the PROCESSING MODALITY, that is, whether the way languages are controlled differs between reception and production.
The results obtained in the four manuscripts, either published or in revision, indicate that language dominance alone does not suffice to explain language switching patterns. In particular, the present thesis shows that language control is profoundly affected by each of the three variables described above. More generally, the findings obtained in the present dissertation indicate that language control in multilingual speakers is a much more dynamic system than previously believed and is not exclusively determined by language dominance, as predicted by the IC model (Green, 1998).
MULTILIT
(2015)
This paper presents an overview of the linguistic analyses developed in the MULTILIT project and the processing of the oral and written texts collected. The project investigates the language abilities of multilingual children and adolescents, in particular, those who have Turkish and/or Kurdish as a mother tongue. A further aim of the project is to examine from a psycholinguistic and sociolinguistic perspective the extent to which competence in academic registers is achieved on the basis of the languages spoken by the children, including the language(s) spoken at the home, the language of the country of residence and the first foreign language. To be able to examine these questions using corpus linguistic parameters, we created categories of analysis in MULTILIT.
The data collection comprises texts from bilingual and monolingual children and adolescents in Germany in their first language Turkish, their second language German und their foreign language English. Pupils aged between nine and twenty years of age produced monologue oral and written texts in the two genres of narrative and discursive. On the basis of these samples, we examine linguistic features such as lexical expression (lexical density, lexical diversity), syntactic complexity (syntactic and discursive packaging) as well as phonology in the oral texts and orthography in the written texts, with the aim of investigating the pupils’ growing mastery of these features in academic and informal registers.
To this end the raw data have been transcribed by the use of transcription conventions developed especially for the needs of the MULTILIT data. They are based on the commonly used HIAT and GAT transcription conventions and supplemented with conventions that provide additional information such as features at the graphic level.
The categories of analysis comprise a large number of linguistic categories such as word classes, syntax, noun phrase complexity, complex verbal morphology, direct speech and text structures. We also annotate errors and norm deviations at a wide range of levels (orthographic, morphological, lexical, syntactic and textual). In view of the different language systems, these criteria are considered separately for all languages investigated in the project.