Dependency grammar (DG) is an approach to the syntax of natural languages with a long and venerable tradition, yet awareness of its potential to serve as a basis for principled analyses of natural language syntax is minimal due to the predominance of phrase structure grammar (PSG). This book presents a DG of English with two main goals in mind. The first is to make the principles of dependency syntax accessible to a general audience so that the novice linguist as well as the seasoned syntactician becomes fully aware of what makes DG unique as an approach to the study of natural language syntax. The second is to present and develop a version of DG that then serves as a principled basis for the investigation of central areas of the syntax of English, such as long-distance dependencies, coordination, ellipsis, valency, etc. An overarching theme in all this is that DG is simple compared to PSG, yet despite this simplicity, it is quite effective at shedding light on the nature of syntactic phenomena.

Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years. This book gives a thorough introduction to the methods that are most widely used today. After an introduction to dependency grammar and dependency parsing, followed by a formal characterization of the dependency parsing problem, the book surveys the three major classes of parsing models that are in current use: transition-based, graph-based, and grammar-based models. It continues with a chapter on evaluation and one on the comparison of different methods, and it closes with a few words on current trends and future prospects of dependency parsing. The book presupposes a knowledge of basic concepts in linguistics and computer science, as well as some knowledge of parsing methods for constituency-based representations. Table of Contents: Introduction / Dependency Parsing / Transition-Based Parsing / Graph-Based Parsing / Grammar-Based Parsing / Evaluation / Comparison / Final Thoughts

Dr. Jackson discusses how an AI system using a language of thought based on the unconstrained syntax of a natural language could achieve "higher-level mentalities" of human intelligence, with advanced forms of learning and reasoning, imagination, and more. 2019 edition.

Dependencies – directed labeled graph structures representing hierarchical relations between morphemes, words, and semantic units – are the standard representation in many fields of computational linguistics. The linguistic significance of these structures often remains vague, however, and those working in the field stress the need for the development of a common notational and formal basis. Although dependency analysis has become quasi-hegemonic in Natural Language Processing (NLP), the connection between computational linguistics and dependency linguists remains sporadic. But theoretical dependency linguists and computational linguists have much to share. This book presents papers from the International Conference on Dependency Linguistics (Depling 2011) held in Barcelona, Spain, in September 2011. Beginning with what may be the first formal definition of dependency structure, the book continues with papers covering subjects such as: the interface of the syntactic structures with semantics; mapping semantic structures to text surface by means of statistical language generation; formalization of dependency; advances in dependency parsing; and the link between statistical and rule-based dependency parsing. This comprehensive collection gives a coherent overview of recent advances in the interplay of linguistics and natural language engineering around dependency grammars, ranging from definitional challenges of syntactic functions to formal grammars, tree bank development, and parsing issues