A new, deductive approach to the syntax-semantics interface integrates two mature and successful lines of research: logical deduction for semantic composition and the Lexical Functional Grammar (LFG) approach to the analysis of linguistic structure. It is often referred to as the "glue" approach because of the role of logic in "gluing" meanings together.
Based on an introductory course on natural-language semantics, this book provides an introduction to type-logical grammar and the range of linguistic phenomena that can be handled in categorial grammar. It also contains a great deal of original work on categorial grammar and its application to natural-language semantics. The author chose the type-logical categorial grammar as his grammatical basis because of its broad syntactic coverage and its strong linkage of syntax and semantics.
The Generative Lexicon presents a novel and exciting theory of lexical semantics that addresses the problem of the "multiplicity of word meaning"; that is, how we are able to give an infinite number of senses to words with finite means. The first formally elaborated theory of a generative approach to word meaning, it lays the foundation for an implemented computational treatment of word meaning that connects explicitly to a compositional semantics.
In Elementary Operations and Optimal Derivations, Hisatsugu Kitahara advances Noam Chomsky's Minimalist Program (1995) with a number of innovative proposals. The analysis is primarily concerned with the elementary operations of the computational system for human language and with the principles of Universal Grammar that constrain derivations generated by that system. Many conditions previously assumed to be axiomatic are deduced from the interaction of more fundamental principles of Universal Grammar.
Combinatory Categorial Grammar (CCG) offers a new approach to the theory of natural language grammar. Coordination, relativization, and related prosodic phenomena have been analyzed in CCG in terms of a radically revised notion of surface structure. CCG surface structures do not exhibit traditional notions of syntactic dominance and command, and do not constitute an autonomous level of representation. Instead, they reflect the computations by which a sentence may be realized or analyzed, to synchronously define a predicate-argument structure, or logical form.
Symbolic and statistical approaches to language have historically been at odds—the former viewed as difficult to test and therefore perhaps impossible to define, and the latter as descriptive but possibly inadequate. At the heart of the debate are fundamental questions concerning the nature of language, the role of data in building a model or theory, and the impact of the competence-performance distinction on the field of computational linguistics. Currently, there is an increasing realization in both camps that the two approaches have something to offer in achieving common goals.
Eugene Charniak breaks new ground in artificial intelligence research by presenting statistical language processing from an artificial intelligence point of view in a text for researchers and scientists with a traditional computer science background.