Ideography And Chinese Language Theory


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Ideography and Chinese Language Theory


Ideography and Chinese Language Theory

Author: Timothy Michael O’Neill

language: en

Publisher: Walter de Gruyter GmbH & Co KG

Release Date: 2016-07-11


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This book is a much-needed scholarly intervention and postcolonial corrective that examines why and when and how misunderstandings of Chinese writing came about and showcases the long history of Chinese theories of language. 'Ideography' as such assumes extra-linguistic, trans-historical, universal 'ideas' which are an outgrowth of Platonism and thus unique to European history. Classical Chinese discourse assumes that language (and writing) is an arbitrary artifact invented by sages for specific reasons at specific times in history. Language by this definition is an ever-changing technology amenable to historical manipulation; language is not the House of Being, but rather a historically embedded social construct that encodes quotidian human intentions and nothing more. These are incommensurate epistemes, each with its own cultural milieu and historical context. By comparing these two traditions, this study historicizes and decolonializes popular notions about Chinese characters, exposing the Eurocentrism inherent in all theories of ideography. Ideography and Chinese Language Theory will be of significant interest to historians, sinologists, theorists, and scholars in other branches of the humanities.

Ideography and Chinese Language Theory


Ideography and Chinese Language Theory

Author:

language: en

Publisher:

Release Date: 2016


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Language and the Rise of the Algorithm


Language and the Rise of the Algorithm

Author: Jeffrey M. Binder

language: en

Publisher: University of Chicago Press

Release Date: 2022-12-06


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A wide-ranging history of the algorithm. Bringing together the histories of mathematics, computer science, and linguistic thought, Language and the Rise of the Algorithm reveals how recent developments in artificial intelligence are reopening an issue that troubled mathematicians well before the computer age: How do you draw the line between computational rules and the complexities of making systems comprehensible to people? By attending to this question, we come to see that the modern idea of the algorithm is implicated in a long history of attempts to maintain a disciplinary boundary separating technical knowledge from the languages people speak day to day. Here Jeffrey M. Binder offers a compelling tour of four visions of universal computation that addressed this issue in very different ways: G. W. Leibniz’s calculus ratiocinator; a universal algebra scheme Nicolas de Condorcet designed during the French Revolution; George Boole’s nineteenth-century logic system; and the early programming language ALGOL, short for algorithmic language. These episodes show that symbolic computation has repeatedly become entangled in debates about the nature of communication. Machine learning, in its increasing dependence on words, erodes the line between technical and everyday language, revealing the urgent stakes underlying this boundary. The idea of the algorithm is a levee holding back the social complexity of language, and it is about to break. This book is about the flood that inspired its construction.