This book is the first to provide an integrated view of preposition from morphology to reasoning, via syntax and semantics. It offers new insights in applied and formal linguistics, and cognitive science. It underlines the importance of prepositions in a number of computational linguistics applications, such as information retrieval and machine translation. The reader will benefit from a wide range of views and applications to various linguistic frameworks, among which, most notably, HPSG. The book is for researchers working in the fields of computational linguistics, linguistics, and artificial intelligence.

Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition
This book is an absolute necessity for instructors at all levels, as well as an indispensable reference for researchers. Introducing NLP, computational linguistics, and speech recognition comprehensively in a single book is an ambitious enterprise. The authors have managed it admirably, paying careful attention to traditional foundations, relating recent developments and trends to those foundations, and tying it all together with insight and humor. Remarkable.(Amazon.com).

Computational Explorations in Cognitive Neuroscience:
Understanding the Mind by Simulating the Brain

The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena.
The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.