When we encounter typography, how do we know what it means? How is the tone of type influenced by the way it is set, when it is made, and where it exists? Considering the social, spatial, and temporal contexts of visual language, this text informs and inspires students, educators, and professionals looking to engage more deeply with the letterforms they use and see. Featuring diverse typographic works, “closer looks”, and interviews with practicing artists and designers, Giving Type Meaning serves to inform how and why we understand what type communicates. The book includes: - The importance and impact of cultural and social context across the expanded field of art and design - How to use visual, physical, and gestural space to inform meaning - The ways time impacts type, such as historical references, recontextualizations, and the use of time as medium - A range of global examples, including Lushootseed language letterforms (Lushootseed Sulad by Juliet Shen), Arabic calligraphy and type design (Regard Each Other as Brothers by Josh Berer, Mirsaal by Rana Abou Rjeily), American civil rights inspired type (Martin by Tré Seals), Italian concrete poetry (Storia Del Monumento by Mirella Bentivoglio), and animated Chinese characters (Motion Type Project by Ting-An Ho)

A rigorous analysis of the nature of literal meaning.

Includes papers that explore the issues and re-assess generally accepted premises on the relationship between lexical meaning and the morphosyntax of sentences by confronting two competing approaches to this issue.

This book constitutes the thoroughly refereed post-workshop proceedings of the 20th Chinese Lexical Semantics Workshop, CLSW 2019, held in Chiayi, Taiwan, in June 2019. The 39 full papers and 46 short papers included in this volume were carefully reviewed and selected from 254 submissions. They are organized in the following topical sections: lexical semantics; applications of natural language processing; lexical resources; corpus linguistics.

This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those interested in computational logic, it provides a framework for knowledge representation and computation based on higher-order logic, and demonstrates its advantages over more standard approaches based on first-order logic. For those interested in machine learning, the book explains how higher-order logic provides suitable knowledge representation formalisms and hypothesis languages for machine learning applications.

The notion of light verb constructions has been traditionally related to the ‘insignificance’ of the verb, which is described as a grammatical item only codifying TAM system and φ-features, whereas the whole predicative content is thought to be conveyed by the noun. This book deals with the light verb constructions as instances of complex verbs, intended as multi-predicational but monoclausal structures. This allows to deepen the actual verb lightness, the effective noun predicativity, as well as their effect on the cohesion of the construction. The papers in this volume reflect on the concrete contribution of noun and verb to the event and argument structure, and on the relevance of semantically different noun classes for the verb selection. From different theoretical approaches, data of a great variety of languages are investigated, such as Indo-European languages – both modern (Germanic, Slavic, Romance and Iranian languages) and ancient (Latin and Ancient Greek) – but also Mandarin Chinese, and different polysynthetic languages (e.g. Ket, Nivkh, Murrinh-Patha, Kiowa, Bininj Gun-wok, Ainu). The range of topics, languages and perspectives presented in this book make it of great interest to both theoretical and applied linguists.