Principles of Structure

What do speakers of a language have to know, and what can they 'figure out' on the basis of that knowledge, in order for them to use their language successfully? This is the question at the heart of Construction Grammar, an approach to the study of language that views all dimensions of language as equal contributors to shaping linguistic expressions. The trademark characteristic of Construction Grammar is the insight that language is a repertoire of more or less complex patterns – constructions – that integrate form and meaning. This textbook shows how a Construction Grammar approach can be used to analyse the English language, offering explanations for language acquisition, variation and change. It covers all levels of syntactic description, from word-formation and inflectional morphology to phrasal and clausal phenomena and information-structure constructions. Each chapter includes exercises and further readings, making it an accessible introduction for undergraduate students of ling

Major enterprises shape our lives in countless ways: big tech and 'surveillance media' that affect democratic debate, algorithms that influence online shopping, transport to work and home, energy and agriculture corporations that drive climate damage, and public services that provide our education, health, water, and housing. The twentieth century experienced swings between private and public ownership, between capitalism and socialism, without any settled, principled outcome, and without settling major questions of how enterprises should be financed, governed and the rights we have in them. This book's main question is 'are there principles of enterprise law', and, if they are missing, 'what principles of enterprise law should there be'? Principles of Enterprise Law gives a functional account of the 'general' enterprise laws of companies, investment, labour, competition and insolvency, before moving into specific enterprises, from universities to the military. It is an original guide

What do speakers of a language have to know, and what can they 'figure out' on the basis of that knowledge, in order for them to use their language successfully? This is the question at the heart of Construction Grammar, an approach to the study of language that views all dimensions of language as equal contributors to shaping linguistic expressions. The trademark characteristic of Construction Grammar is the insight that language is a repertoire of more or less complex patterns – constructions – that integrate form and meaning. This textbook shows how a Construction Grammar approach can be used to analyse the English language, offering explanations for language acquisition, variation and change. It covers all levels of syntactic description, from word-formation and inflectional morphology to phrasal and clausal phenomena and information-structure constructions. Each chapter includes exercises and further readings, making it an accessible introduction for undergraduate students of ling

This compact course is written for the mathematically literate reader who wants to learn to analyze data in a principled fashion. The language of mathematics enables clear exposition that can go quite deep, quite quickly, and naturally supports an axiomatic and inductive approach to data analysis. Starting with a good grounding in probability, the reader moves to statistical inference via topics of great practical importance – simulation and sampling, as well as experimental design and data collection – that are typically displaced from introductory accounts. The core of the book then covers both standard methods and such advanced topics as multiple testing, meta-analysis, and causal inference.

This compact course is written for the mathematically literate reader who wants to learn to analyze data in a principled fashion. The language of mathematics enables clear exposition that can go quite deep, quite quickly, and naturally supports an axiomatic and inductive approach to data analysis. Starting with a good grounding in probability, the reader moves to statistical inference via topics of great practical importance – simulation and sampling, as well as experimental design and data collection – that are typically displaced from introductory accounts. The core of the book then covers both standard methods and such advanced topics as multiple testing, meta-analysis, and causal inference.