Babych, Bogdan
Hybrid Approaches to Machine Translation
1. Hybrid Machine Translation Overview
Cristina España-Bonet, Marta R. Costa-jussà
Part I. Adding Linguistics into SMT
2. Controlled Ascent: Imbuing Statistical MT with Linguistic Knowledge
William D. Lewis, Chris Quirk, Qin Gao
3. Hybrid Word Alignment
Santanu Pal, Sudip Kumar Naskar
4. Syntax-Based Pre-reordering for Chinese-to-Japanese Statistical Machine Translation
Dan Han, Pascual Martínez-Gómez, Yusuke Miyao
Part II. Using Machine Learning in MT
5. Machine Learning Applied to Rule-Based Machine Translation
Annette Rios, Anne Göhring
6. Language-Independent Hybrid MT: Comparative Evaluation of Translation Quality
George Tambouratzis, Marina Vassiliou, Sokratis Sofianopoulos
Part III. Hybrid NLP Tools Useful for MT
7. Creating Hybrid Dependency Parsers for Syntax-Based MT
Nathan David Green, Zdeněk Žabokrtský
8. Using WordNet-Based Word Sense Disambiguation to Improve MT Performance
Špela Vintar, Darja Fišer
Keywords: Computer Science, Language Translation and Linguistics, Computational Linguistics, Translation
- Editor
- Babych, Bogdan
- Banchs, Rafael E.
- Costa-jussà, Marta R.
- Eberle, Kurt
- Lambert, Patrik
- Rapp, Reinhard
- Publisher
- Springer
- Publication year
- 2016
- Language
- en
- Edition
- 1
- Series
- Theory and Applications of Natural Language Processing
- Page amount
- 9 pages
- Category
- Information Technology, Telecommunications
- Format
- Ebook
- eISBN (PDF)
- 9783319213118
- Printed ISBN
- 978-3-319-21310-1