Analyzing Syntax Through Texts

Explores the momentous changes that have taken place in the Russian nationalism since Putin's return to the presidency

Analyzing Syntax: A Lexical-Functional Approach is a comprehensive and accessible 2004 textbook on syntactic analysis, designed for students of linguistics at advanced undergraduate or graduate level. Working within the 'Lexical Functional Grammar' (LFG) approach, it provides students with a framework for analyzing and describing grammatical structure, using extensive examples from both European and non-European languages. Topics covered include: tests for constituency, passivization and other relation-changing processes, reflexive pronouns, the control relation, Topic and Focus, relative clauses and Wh-questions, causative constructions, serial verbs, 'quirky case', and ergativity. As well as building on what linguists have learned about language in general, particular attention is paid to the unique features of individual languages. While its primary focus is on syntactic structure, the book also deals with aspects of meaning, function and word-structure that are directly relevant to syntax. Clearly organised into topics, this textbook is ideal for one-semester courses in syntax and grammatical analysis.

This 22-chapter text explores the structure of language and the meaning of words within a given structure. The text/workbook combination gives students both the theory and practice they need to understand this complex topic. Analyzing Syntax and Semantics features the Personalized System of Instruction (PSI) approach. This method uses student performance objectives, practice, feedback, individualization of pace, and repeatable testing as instructional strategies.

A COMPANION TO CHOMSKY Widely considered to be one of the most important public intellectuals of our time, Noam Chomsky has revolutionized modern linguistics. His thought has had a profound impact upon the philosophy of language, mind, and science, as well as the interdisciplinary field of cognitive science which his work helped to establish. Now, in this new Companion dedicated to his substantial body of work and the range of its influence, an international assembly of prominent linguists, philosophers, and cognitive scientists reflect upon the interdisciplinary reach of Chomsky's intellectual contributions. Balancing theoretical rigor with accessibility to the non-specialist, the Companion is organized into eight sections—including the historical development of Chomsky's theories and the current state of the art, comparison with rival usage-based approaches, and the relation of his generative approach to work on linguistic processing, acquisition, semantics, pragmatics, and philosophy of language. Later chapters address Chomsky's rationalist critique of behaviorism and related empiricist approaches to psychology, as well as his insistence upon a "Galilean" methodology in cognitive science. Following a brief discussion of the relation of his work in linguistics to his work on political issues, the book concludes with an essay written by Chomsky himself, reflecting on the history and character of his work in his own words. A significant contribution to the study of Chomsky's thought, A Companion to Chomsky is an indispensable resource for philosophers, linguists, psychologists, advanced undergraduate and graduate students, and general readers with interest in Noam Chomsky's intellectual legacy as one of the great thinkers of the twentieth century.

This 22-chapter text explores the structure of language and the meaning of words within a given structure. The text/workbook combination gives students both the theory and practice they need to understand this complex topic. Analyzing Syntax and Semantics features the Personalized System of Instruction (PSI) approach. This method uses student performance objectives, practice, feedback, individualization of pace, and repeatable testing as instructional strategies.

Shows teachers how to help students become confident, accomplished writers, using literature as their foundation. The book is organised around the characteristics of good writing: focus, content, organisation, style, and conventions.

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. Winner of a 2012 PROSE Award in Computing and Information Sciences from the Association of American Publishers, this book presents a comprehensive how-to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities. The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. Extensive case studies, most in a tutorial format, allow the reader to 'click through' the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possible Numerous examples, tutorials, power points and datasets available via companion website on Elsevierdirect.com Glossary of text mining terms provided in the appendix