Machine Translation with Minimal Reliance on Parallel Resources

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Springer


Collection :

SpringerBriefs in Statistics

Paru le : 2017-08-09

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Description
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.?
Pages
88 pages
Collection
SpringerBriefs in Statistics
Parution
2017-08-09
Marque
Springer
EAN papier
9783319631059
EAN PDF
9783319631073

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
2417 Ko
Prix
52,74 €
EAN EPUB
9783319631073

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
973 Ko
Prix
52,74 €