About: Phrase structure rules is a research topic. Over the lifetime, 2793 publications have been published within this topic receiving 120246 citations.
TL;DR: This book investigates a wide variety of semantic rules, stating them in considerable detail and extensively treating their consequences for the syntactic component of the grammar, and proposes radically new approaches to the so-called Crossover Principle, the control problem for complement subjects, parentheticals, and the interpretation of nonspecific noun phrases.
Abstract: Like other recent work in the field of generative-transformational grammar, this book developed from a realization that many problems in linguistics involve semantics too deeply to be solved insightfully within the syntactic theory of Noam Chomsky's Aspect of the Theory of Syntax. Dr Jackendoff has attempted to take a broader view of semantics, studying the important contribution it makes to the syntactic patterns of English.The research is carried out in the framework of an interpretive theory, that is, a theory of grammar in which syntactic structures are given interpretations by an autonomous syntactic component. The book investigates a wide variety of semantic rules, stating them in considerable detail and extensively treating their consequences for the syntactic component of the grammar. In particular, it is shown that the hypothesis that transformations do not change meaning must be abandoned; but equally stringent restrictions on transformations are formulated within the interpretive theory.Among the areas of grammar discussed are the well-known problems of case relations, pronominalization, negation, and quantifiers. In addition, the author presents semantic analyses of such neglected areas as adverbs and intonation contours; he also proposes radically new approaches to the so-called Crossover Principle, the control problem for complement subjects, parentheticals, and the interpretation of nonspecific noun phrases.
TL;DR: This book presents the most complete exposition of the theory of head-driven phrase structure grammar, introduced in the authors' "Information-Based Syntax and Semantics," and demonstrates the applicability of the HPSG approach to a wide range of empirical problems.
Abstract: This book presents the most complete exposition of the theory of head-driven phrase structure grammar (HPSG), introduced in the authors' "Information-Based Syntax and Semantics." HPSG provides an integration of key ideas from the various disciplines of cognitive science, drawing on results from diverse approaches to syntactic theory, situation semantics, data type theory, and knowledge representation. The result is a conception of grammar as a set of declarative and order-independent constraints, a conception well suited to modelling human language processing. This self-contained volume demonstrates the applicability of the HPSG approach to a wide range of empirical problems, including a number which have occupied center-stage within syntactic theory for well over twenty years: the control of "understood" subjects, long-distance dependencies conventionally treated in terms of "wh"-movement, and syntactic constraints on the relationship between various kinds of pronouns and their antecedents. The authors make clear how their approach compares with and improves upon approaches undertaken in other frameworks, including in particular the government-binding theory of Noam Chomsky.
TL;DR: The empirical results suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning of phrase translations from word-based alignments and lexical weighting of phrase translation.
Abstract: We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models. Within our framework, we carry out a large number of experiments to understand better and explain why phrase-based models out-perform word-based models. Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning of phrase translations from word-based alignments and lexical weighting of phrase translations. Surprisingly, learning phrases longer than three words and learning phrases from high-accuracy word-level alignment models does not have a strong impact on performance. Learning only syntactically motivated phrases degrades the performance of our systems.
TL;DR: A system for extracting typed dependency parses of English sentences from phrase structure parses that captures inherent relations occurring in corpus texts that can be critical in real-world applications is described.
Abstract: This paper describes a system for extracting typed dependency parses of English sentences from phrase structure parses. In order to capture inherent relations occurring in corpus texts that can be critical in real-world applications, many NP relations are included in the set of grammatical relations used. We provide a comparison of our system with Minipar and the Link parser. The typed dependency extraction facility described here is integrated in the Stanford Parser, available for download.
TL;DR: It is found that no finite-state Markov process that produces symbols with transition from state to state can serve as an English grammar, and the particular subclass of such processes that produce n -order statistical approximations to English do not come closer, with increasing n, to matching the output of anEnglish grammar.
Abstract: We investigate several conceptions of linguistic structure to determine whether or not they can provide simple and "revealing" grammars that generate all of the sentences of English and only these. We find that no finite-state Markov process that produces symbols with transition from state to state can serve as an English grammar. Furthermore, the particular subclass of such processes that produce n -order statistical approximations to English do not come closer, with increasing n , to matching the output of an English grammar. We formalize-the notions of "phrase structure" and show that this gives us a method for describing language which is essentially more powerful, though still representable as a rather elementary type of finite-state process. Nevertheless, it is successful only when limited to a small subset of simple sentences. We study the formal properties of a set of grammatical transformations that carry sentences with phrase structure into new sentences with derived phrase structure, showing that transformational grammars are processes of the same elementary type as phrase-structure grammars; that the grammar of English is materially simplified if phrase structure description is limited to a kernel of simple sentences from which all other sentences are constructed by repeated transformations; and that this view of linguistic structure gives a certain insight into the use and understanding of language.