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Machine Translation with Minimal Reliance on Parallel Resources
George Tambouratzis
Marina Vassiliou
Sokratis Sofianopoulos
出版
Springer
, 2017-08-09
主題
Computers / Speech & Audio Processing
Computers / Mathematical & Statistical Software
Computers / Artificial Intelligence / Computer Vision & Pattern Recognition
Computers / Artificial Intelligence / Natural Language Processing
Computers / Information Technology
Mathematics / Discrete Mathematics
Computers / Optical Data Processing
ISBN
3319631071
9783319631073
URL
http://books.google.com.hk/books?id=LYwwDwAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.