'This volume brings a uniquely interdisciplinary approach to its subjects … All of the essays present new and emerging research in neuroscience and language. While the materials covered are advanced for most undergraduates, this volume would make a valuable resource for researchers in the field and a helpful guide to graduate students on subjects for further research. An excellent addition to collections where natural language processing and cognitive science are studied. Summing Up: Recommended.' R. Bharath, Choice
Part I. About This Book: 1. Introduction T. Poibeau and A. Villavicencio; Part II. Models of Neural and Cognitive Processing: 2. Light-and-deep parsing P. Blache; 3. Decoding language from brain B. Murphy, A. Fyshe and L. Wehbe; 4. Graph theory applied to speech N. B. Mota, M. Copelli and S. Ribeiro; Part III. Data-Driven Models: 5. Putting linguistics back into computational linguistics M. Kay; 6. A distributional model of verb-specific semantic roles inferences G. E. Lebani and A. Lenci; 7. Native language identification on EFCAMDAT X. Jiang, Y. Huang, Y. Guo, J. Geertzen, T. Alexopoulou, L. Sun, A. Korhonen; 8. Evaluating language acquisition models L. Pearl and L. Phillips; Part IV. Social and Language Evolution: 9. Social evolution of public languages A. Reboul; 10. Genetic biases in language R. Janssen and D. Dediu; 11. Transparency versus processing efficiency R. van Trijp.