Linguistic distinctions between the notions of a phrase, a word, and their components are challenged by so-called particle verbs in German and similar features in other languages. Particle verbs look like single words, yet are typically assembled from word-like fragments that together behave more like components of a phrase than of a word. The resolution of existing scholarly ambivalence has exciting ramifications, from questioning the existence of particle verbs to a broader understanding of what constitutes a word.

Particle verbs have previously been analyzed as morphological objects or as phrasal constructions, but neither approach fits cleanly within its chosen framework. The resolution presented here is that particle verbs should be seen as lexicalized phrasal constructions. Emphasizing morphological and syntactic testability, over a hundred colloquial examples are shown to break the rules of previous approaches while remaining consistent with this book's proposition. To distinguish particle verbs from similar constructions, and to demonstrate how structural and morphological factors have been misidentified in the past, preverb verb constructions (PVCs) are introduced and diagrammed. This reveals the roles of listedness and non-transparency in word formation and clarifies the conclusion that particle verbs do not form a definable class of words.

Many books have indexes, but most textual media have none. Newspapers, legal transcripts, conference proceedings, correspondence, video subtitles, and web pages are increasingly accessible with computers, yet are still without indexes or other sophisticated means of finding the excerpts most relevant to a reader's question.

Better than an index, and much better than a keyword search, are the high-precision computerized question-answering systems explored in this book. Marius Pasca presents novel and robust methods for capturing the semantics of natural language questions and for finding the most relevant portions of texts. This research has led to a fully implemented and rigorously evaluated architecture that has produced experimental results showing great promise for the future of internet search technology.

This volume explores how the effectiveness of communication is shaped by aspects of semantics and pragmatics such as compositionality, the role of the speaker and hearer, and the acquisition of meaning. Optimal Communication surveys recent research in the fields of syntax, semantics, and pragmatics, and draws from optimality theory to argue that optimal meanings result from a compromise between competing constraints. Optimal Communication will be an invaluable resource for students in cognitive science, linguistics, and natural language semantics.

With this book, Jonas Kuhn greatly advances Optimality Theory (OT) by clarifying the significant choices in the design of a formally precise OT approach to syntax. Building on OT work that uses the representation structures of Lexical Functional Grammar (OT-LFG), Kuhn defines the notion of an OT-syntactic grammar in a declarative, non-derivational way.

Along with the standard OT architecture, which is based on a generation metaphor, Kuhn also formalizes parsing-based OT, and goes on to discuss possible combinations of these two architectures. This is followed by an examination of assumptions under which the computational tasks of generation and parsing are decidable for an OT-syntactic grammar.