María Blume – författare

Bilingualism has given rise to significant changes in Spanish-speaking countries. In the US, the increasing importance of Spanish has engendered an English-only movement; in Peru, contact between Spanish and Quechua has brought about language change; and in Iberia, speakers of Basque, Galician and Catalan have made their languages a compulsory part of school curricula and local government. This book provides an introduction to bilingualism in the Spanish-speaking world, looking at topics such as language contact, bilingual societies, bilingualism in schools, code-switching, language transfer, the emergence of new varieties of Spanish, and language choice - and how all of these phenomena affect the linguistic and cognitive development of the speaker. Using examples and case studies drawn primarily from Spanish/English bilinguals in the US, Spanish/Quechua bilinguals in Peru and Spanish/Basque bilinguals in Spain, it provides diverse perspectives on the experience of being bilingual in distinct cultural, political and socioeconomic contexts.

Bilingualism has given rise to significant changes in Spanish-speaking countries. In the US, the increasing importance of Spanish has engendered an English-only movement; in Peru, contact between Spanish and Quechua has brought about language change; and in Iberia, speakers of Basque, Galician and Catalan have made their languages a compulsory part of school curricula and local government. This book provides an introduction to bilingualism in the Spanish-speaking world, looking at topics such as language contact, bilingual societies, bilingualism in schools, code-switching, language transfer, the emergence of new varieties of Spanish, and language choice - and how all of these phenomena affect the linguistic and cognitive development of the speaker. Using examples and case studies drawn primarily from Spanish/English bilinguals in the US, Spanish/Quechua bilinguals in Peru and Spanish/Basque bilinguals in Spain, it provides diverse perspectives on the experience of being bilingual in distinct cultural, political and socioeconomic contexts.

Synthesizing decades of collective experience into a set of practical guidelines for students and budding researchers, the authors of this book introduce a systematic approach to generating, processing, and interpreting reliable and valid speech data. They review a variety of observational and experimental tasks that allow researchers to collect natural speech, elicit specific types of speech, and assess language comprehension.Guidelines for generating data sets by transcribing and coding raw speech data are also reviewed, as are special considerations for working with infants and multilingual children.

Language acquisition research is challenging—the intricate behavioral and cognitive foundations of speech are difficult to measure objectively. The audible components of speech, however, are quantifiable and thus provide crucial data. This practical guide synthesizes the authors’ decades of experience into a comprehensive set of tools that will allow students and early career researchers in the field to design and conduct rigorous studies that produce reliable and valid speech data and interpretations.

The authors thoroughly review specific techniques for obtaining qualitative and quantitative speech data, including how to tailor the testing environments for optimal results. They explore observational tasks for collecting natural speech and experimental tasks for eliciting specific types of speech. Language comprehension tasks are also reviewed so researchers can study participants’ interpretations of speech and conceptualizations of grammar. Most tasks are oriented towards children, but special considerations for infants are also reviewed, as well as multilingual children.

Chapters also provide strategies for transcribing and coding raw speech data into reliable data sets that can be scientifically analyzed. Furthermore, they investigate the intricacies of interpretation so that researchers can make empirically sound inferences from their data and avoid common pitfalls that can lead to unscientific conclusions.