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
Avainsanat: Computer Science, Language Translation and Linguistics, Computational Linguistics, Translation
- Toimittaja
- Babych, Bogdan
- Banchs, Rafael E.
- Costa-jussà, Marta R.
- Eberle, Kurt
- Lambert, Patrik
- Rapp, Reinhard
- Julkaisija
- Springer
- Julkaisuvuosi
- 2016
- Kieli
- en
- Painos
- 1
- Sarja
- Theory and Applications of Natural Language Processing
- Sivumäärä
- 9 sivua
- Kategoria
- Tietotekniikka, tietoliikenne
- Tiedostomuoto
- E-kirja
- eISBN (PDF)
- 9783319213118
- Painetun ISBN
- 978-3-319-21310-1