Universal Grammar (UG) is a theory of both the fundamental principles for all possible languages and the language faculty in the "initial state" of the human organism. These two volumes approach the study of UG by joint, tightly linked studies of both linguistic theory and human competence for language acquisition. In particular, the volumes collect comparable studies across a number of different languages, carefully analyzed by a wide range of international scholars.
The issues surrounding cross-linguistic variation in "Heads, Projections, and Learnability" (Volume 1) and in "Binding, Dependencies, and Learnability" (Volume 2) are arguably the most fundamental in UG. How can principles of grammar be learned by general learning theory? What is biologically programmed in the human species in order to guarantee their learnability? What is the true linguistic representation for these areas of language knowledge? What universals exist across languages?
The two volumes summarize the most critical current proposals in each area, and offer both theoretical and empirical evidence bearing on them. Research on first language acquisition and formal learnability theory is placed at the center of debates relative to linguistic theory in each area. The convergence of research across several different disciplines -- linguistics, developmental psychology, and computer science -- represented in these volumes provides a paradigm example of cognitive science.

Universal Grammar (UG) is a theory of both the fundamental principles for all possible languages and the language faculty in the "initial state" of the human organism. These two volumes approach the study of UG by joint, tightly linked studies of both linguistic theory and human competence for language acquisition. In particular, the volumes collect comparable studies across a number of different languages, carefully analyzed by a wide range of international scholars. The issues surrounding cross-linguistic variation in "Heads, Projections, and Learnability" (Volume 1) and in "Binding, Dependencies, and Learnability" (Volume 2) are arguably the most fundamental in UG. How can principles of grammar be learned by general learning theory? What is biologically programmed in the human species in order to guarantee their learnability? What is the true linguistic representation for these areas of language knowledge? What universals exist across languages? The two volumes summarize the most critical current proposals in each area, and offer both theoretical and empirical evidence bearing on them. Research on first language acquisition and formal learnability theory is placed at the center of debates relative to linguistic theory in each area. The convergence of research across several different disciplines -- linguistics, developmental psychology, and computer science -- represented in these volumes provides a paradigm example of cognitive science.

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.