A Hybrid Word Alignment Model for Phrase-Based Statistical Machine Translation

By Santanu Pal, Sudip Kumar Naskar, Sivaji Bandyopadhyay. 2013

16 citations recorded by the source corpus.

Subfields: Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Philipp Koehn
2. Lucia Specia
3. Ondrej Bojar
4. Barry Haddow
5. Matt Post
6. Christof Monz
7. Matteo Negri
8. Marco Turchi

Citations in the corpus

• Findings of the 2015 Workshop on Statistical Machine Translation (2015, positive): “These different word alignment tables (Pal et al., 2013) are combined by a mathematical union method.”
• USAAR-SAPE: An English–Spanish Statistical Automatic Post-Editing System (2015, methodology): “In order to combine these different word alignment tables (Pal et al., 2013) we used a mathematical union method.”