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...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2015, 2015
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| Edition: | 1st ed. 2015 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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