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.
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María Blume, PhD, is an associate professor in linguistics at the Pontificia Universidad Católica del Perú. She received her PhD in linguistics at Cornell University. Her research interests include first and second language acquisition, bilingualism, cognition, and the acquisition of morphology and syntax and their interaction with pragmatics.
Barbara C. Lust, PhD, is Professor of Developmental Psychology, Linguistics, and Cognitive Science at Cornell University, where she has taught for over 30 years. There, she and her students and collaborators have built the Cornell University Language Acquisition Lab, which houses and supports ongoing research on language acquisition involving more than 20 languages. Together they have constructed a range of materials for the crosslinguistic interdisciplinary study of language acquisition.
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