Description: Machine Translation with Minimal Reliance on Parallel Resources Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): George Tambouratzis, Marina Vassiliou, Sokratis Sofianopoulos Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319631059, 978-3319631059 Synopsis 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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Book Title: Machine Translation with Minimal Reliance on Parallel Resources
Number of Pages: 88 Pages
Language: English
Publication Name: Machine Translation with Minimal Reliance on Parallel Resources
Publisher: Springer International Publishing A&G
Publication Year: 2017
Subject: Computer Science
Item Height: 235 mm
Item Weight: 169 g
Type: Textbook
Author: Sokratis Sofianopoulos, George Tambouratzis, Marina Vassiliou
Series: Springerbriefs in Statistics
Item Width: 155 mm
Format: Paperback