Text Genres and Registers: The Computation of Linguistic Features
Buch in deiner Nähe kaufen
Beschreibung
This book is a description of some of the most recent advances in text classification as part of a concerted effort to achieve computer understanding of human language. In particular, it addresses state-of-the-art developments in the computation of higher-level linguistic features, ranging from etymology to grammar and syntax for the practical task of text classification according to genres, registers and subject domains. Serving as a bridge between computational methods and sophisticated linguistic analysis, this book will be of particular interest to academics and students of computational linguistics as well as professionals in natural language engineering.
This book is a description of some of the most recent advances in text classification as part of a concerted effort to achieve computer understanding of human language. In particular, it addresses state-of-the-art developments in the computation of higher-level linguistic features, ranging from etymology to grammar and syntax for the practical task of text classification according to genres, registers and subject domains. Serving as a bridge between computational methods and sophisticated linguistic analysis, this book will be of particular interest to academics and students of computational linguistics as well as professionals in natural language engineering.
Provides systematic discussions ranging from lexis and grammar to spoken discourse Uses balanced corpora and richly annotated linguistic information for effective feature selection Gives state-of-the-art computation of genres and registers based on linguistic motivations Includes supplementary material: sn.pub/extras
Autor*in
Chengyu Alex Fang
Themen in »Text Genres and Registers: The Computation of Linguistic Features«
etymology genre detection grammar linguistic features machine learning text classification
Stimmen zu »Text Genres and Registers: The Computation of Linguistic Features«
“This book would be a useful addition to the field of corpus-based computational analysis by tactically connecting corpus perspective and NLP perspective. … In summation, their methodology of research represented by these empirical studies, including their choices of corpora, annotation schemes, and evaluation measures, could set very good examples for future researchers, especially for those who are familiar with both corpus linguistics and NLP.” (Fan Pan and Guoxiao Tao, Scientometrics, Vol. 113, 2017)
()