Machine Translation with Minimal Reliance on Parallel Resources

• Main Authors: Tambouratzis, George (Author), Vassiliou, Marina (Author), Sofianopoulos, Sokratis (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: SpringerBriefs in Statistics,
• Subjects: Computer science.; Mathematical statistics.; Computational linguistics.; Pattern recognition.; Statistics.; Computer Science.; Language Translation and Linguistics.; Probability and Statistics in Computer Science.; Pattern Recognition.; Statistics and Computing/Statistics Programs.

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...

Table of Contents:

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