Machine Translation with Minimal Reliance on Parallel Resources

Nonfiction, Computers, Advanced Computing, Application Software, General Computing
Cover of the book Machine Translation with Minimal Reliance on Parallel Resources by George Tambouratzis, Marina Vassiliou, Sokratis Sofianopoulos, Springer International Publishing
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Author: George Tambouratzis, Marina Vassiliou, Sokratis Sofianopoulos ISBN: 9783319631073
Publisher: Springer International Publishing Publication: August 9, 2017
Imprint: Springer Language: English
Author: George Tambouratzis, Marina Vassiliou, Sokratis Sofianopoulos
ISBN: 9783319631073
Publisher: Springer International Publishing
Publication: August 9, 2017
Imprint: Springer
Language: English

This book provides a unified view on a new methodology for Machine Translation (MT). This methodology extracts information from widely available resources (extensive monolingual corpora) while only assuming the existence of a very limited parallel corpus, thus having a unique starting point to Statistical Machine Translation (SMT). In this book, a detailed presentation of the methodology principles and system architecture is followed by a series of experiments, where the proposed system is compared to other MT systems using a set of established metrics including BLEU, NIST, Meteor and TER. Additionally, a free-to-use code is available, that allows the creation of new MT systems. The volume is addressed to both language professionals and researchers. Prerequisites for the readers are very limited and include a basic understanding of the machine translation as well as of the basic tools of natural language processing.​

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This book provides a unified view on a new methodology for Machine Translation (MT). This methodology extracts information from widely available resources (extensive monolingual corpora) while only assuming the existence of a very limited parallel corpus, thus having a unique starting point to Statistical Machine Translation (SMT). In this book, a detailed presentation of the methodology principles and system architecture is followed by a series of experiments, where the proposed system is compared to other MT systems using a set of established metrics including BLEU, NIST, Meteor and TER. Additionally, a free-to-use code is available, that allows the creation of new MT systems. The volume is addressed to both language professionals and researchers. Prerequisites for the readers are very limited and include a basic understanding of the machine translation as well as of the basic tools of natural language processing.​

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