Machine Translation with Minimal Reliance on Parallel Resources

• Κύριοι συγγραφείς: Tambouratzis, George (Συγγραφέας), Vassiliou, Marina (Συγγραφέας), Sofianopoulos, Sokratis (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: SpringerBriefs in Statistics,
• Θέματα: 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...

Πίνακας περιεχομένων:

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