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: | 9783319631059 |
Publication date: | 5th September 2017 |
Author: | George Tambouratzis, Marina Vassiliou, Sokratis Sofianopoulos |
Publisher: | Springer an imprint of Springer International Publishing |
Format: | Paperback |
Pagination: | 88 pages |
Series: | SpringerBriefs in Statistics |
Genres: |
Natural language and machine translation Pattern recognition Maths for computer scientists Probability and statistics Mathematical and statistical software |