Machine TranslationThe book begins by discussing problems that must be solved during the development of a machine translation system and offering a brief overview of the evolution of the field. It then takes up the history of machine translation in more detail, describing its pre-digital beginnings, rule-based approaches, the 1966 ALPAC (Automatic Language Processing Advisory Committee) report and its consequences, the advent of parallel corpora, the example-based paradigm, the statistical paradigm, the segment-based approach, the introduction of more linguistic knowledge into the systems, and the latest approaches based on deep learning.
Added by: saimoh76 | Karma: 7321.60 | Black Hole | 24 November 2019
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An introduction to English Corpus Linguistics
English Corpus Linguistics is a step-by-step guide to creating and analyzing linguistic corpora... The book concludes with an overview of the future challenges that corpus linguists face to make both the creation and analysis of corpora much easier undertakings than they currently are. Clearly organized and accessibly written, this book will appeal to students of linguistics and English language.
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Added by: aidsami | Karma: 1659.02 | Black Hole | 24 October 2019
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English Corpus Linguistics (An introduction)
English Corpus Linguistics is a step-by-step guide to creating and analyzing linguistic corpora... The book concludes with an overview of the future challenges that corpus linguists face to make both the creation and analysis of corpora much easier undertakings than they currently are. Clearly organized and accessibly written, this book will appeal to students of linguistics and English language.
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This book unites a range of approaches to the collection and digitization of diverse language corpora. Its specific focus is on best practices identified in the exploitation of these resources in landmark impact initiatives across different parts of the globe. The development of increasingly accessible digital corpora has coincided with improvements in the standards governing the collection, encoding and archiving of ‘Big Data’. Less attention has been paid to the importance of developing standards for enriching and preserving other types of corpus data, such as that which captures the nuances of regional dialects, for example.
