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Machine Translation with Minimal Reliance on Parallel Resources /

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 Stati...

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Bibliographic Details
Main Authors: Tambouratzis, George (Author)
Corporate Authors: SpringerLink (Online service)
Group Author: Vassiliou, Marina; Sofianopoulos, Sokratis
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: SpringerBriefs in Statistics,
Subjects:
Computer science.
Mathematical statistics.
Computational linguistics.
Pattern Recognition.
Statistics.
Language Translation and Linguistics.
Probability and Statistics in Computer Science.
Statistics and Computing/Statistics Programs.
Online Access: http://dx.doi.org/10.1007/978-3-319-63107-3
Summary: 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.
Carrier Form: 1 online resource (IX, 88 pages): illustrations.
ISBN: 9783319631073
Index Number: P98
CLC: H087
Contents: Preliminaries -- Implementation -- Main translation process -- Assessing PRESEMT -- Expanding the system -- Extensions to the PRESEMT methodology -- Conclusions and future work -- References.

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