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Machine translation with minimal reliance on parallel resources

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine translation with minimal reliance on parallel resources/ by George Tambouratzis, Marina Vassiliou, Sokratis Sofianopoulos.
Author:	Tambouratzis, George.
other author:	Vassiliou, Marina.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	ix, 88 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Machine translating. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-63107-3
ISBN:	9783319631073

Machine translation with minimal reliance on parallel resources
Tambouratzis, George.

Machine translation with minimal reliance on parallel resources[electronic resource] /by George Tambouratzis, Marina Vassiliou, Sokratis Sofianopoulos. - Cham :Springer International Publishing :2017. - ix, 88 p. :ill., digital ;24 cm. - SpringerBriefs in statistics,2191-544X. - SpringerBriefs in statistics..

Preliminaries -- Implementation -- Main translation process -- Assessing PRESEMT -- Expanding the system -- Extensions to the PRESEMT methodology -- Conclusions and future work -- References.

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.

ISBN: 9783319631073

Standard No.: 10.1007/978-3-319-63107-3doiSubjects--Topical Terms:

713799
Machine translating.

LC Class. No.: P308 / .T36 2017

Dewey Class. No.: 418.020285635

Machine translation with minimal reliance on parallel resources
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520 $a 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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