Linguistically Motivated Statistical Machine Translation Models and Algorithms /

This book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT). It helps advance conventional SMT to linguistically motivated SMT by enhancing the following three essential components: translation, reordering and bracketing mod...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Xiong, Deyi (Συγγραφέας), Zhang, Min (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2015.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 1 Introduction
  • 2 BTG-Based SMT
  • 3 Syntactically Annotated Reordering
  • 4 Semantically Informed Reordering
  • 5 Lexicalized Bracketing
  • 6 Linguistically Motivated Bracketing
  • 7 Translation Rule Selection with Document-Level Semantic Information
  • 8 Translation Error Detection with Linguistic Features
  • 9 Closing Remarks
  • Index
  • References.