5.7k citations · 5.7k across the 5 of their papers we have counts for
5 papers
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu, Mike Schuster, Zhifeng Chen +28
Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, with the potential to overcome many of the weaknesses of conventional phrase-based tr…
Transition-Based Dependency Parsing With Pluggable Classifiers
Alex Rudnick
In principle, the design of transition-based dependency parsers makes it possible to experiment with any general-purpose classifier without other changes to the parsing algorithm.…
Tree Transducers, Machine Translation, and Cross-Language Divergences
Alex Rudnick
Tree transducers are formal automata that transform trees into other trees. Many varieties of tree transducers have been explored in the automata theory literature, and more recent…
Visualizing Communication on Social Media: Making Big Data Accessible
Karissa McKelvey, Alex Rudnick, Michael D. Conover +1
The broad adoption of the web as a communication medium has made it possible to study social behavior at a new scale. With social media networks such as Twitter, we can collect lar…
Considering a resource-light approach to learning verb valencies
Alex Rudnick
Here we describe work on learning the subcategories of verbs in a morphologically rich language using only minimal linguistic resources. Our goal is to learn verb subcategorization…