Abstract
Improvements in hardware, the availability of massive amounts of data, and algorithmic upgrades are among the factors supporting better machine translation.
- Byrne, M. This DARPA Video Targeting AI Hype Is Necessary Viewing, Motherboard, https://motherboard.vice.com/en_us/article/this-darpa-video-targeting-ai-hype-isnecessary-viewingGoogle Scholar
- A Neural Network for Machine Translation, at Production Scale, Google Research Blog, https://research.Googleblog.com/2016/09/a-neural-network-for-machine.htmlGoogle Scholar
- Zero-Shot Translation with Google's Multilingual Neural Machine Translation System, Google Research Blog, http://bit.ly/2nc469zGoogle Scholar
Index Terms
- Deep learning takes on translation
Recommendations
Improve syntax-based translation using deep syntactic structures
This paper introduces deep syntactic structures to syntax-based Statistical Machine Translation (SMT). We use a Head-driven Phrase Structure Grammar (HPSG) parser to obtain the deep syntactic structures of a sentence, which include not only a fine-...
Learning Translation Templates from Bilingual Translation Examples
A mechanism for learning lexical correspondences between two languages from sets of translated sentence pairs is presented. These lexical level correspondences are learned using analogical reasoning between two translation examples. Given two ...
Comments