Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models
Statistical Phrase-Based Translation
Learning to Parse and Translate Improves Neural Machine Translation
Iterative Refinement for Machine Translation
A Syntax-Based Statistical Translation Model
Pragmatic Neural Language Modelling in Machine Translation
Factored Translation Models
One Sentence One Model for Neural Machine Translation
HMM-Based Word Alignment in Statistical Translation
Fast and Robust Neural Network Joint Models for Statistical Machine Translation
Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation
Edinburgh's Phrase-based Machine Translation Systems for WMT-14
Minimum Risk Training for Neural Machine Translation
Fully Character-Level Neural Machine Translation without Explicit Segmentation
Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation
Bidirectional Generative Adversarial Networks for Neural Machine Translation
Convergence of translation memory and statistical machine translation
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model
Modeling Source Syntax for Neural Machine Translation
Neural Machine Translation Training in a Multi-Domain Scenario
Program Language Translation Using a Grammar-Driven Tree-to-Tree Model
The Alignment Template Approach To Statistical Machine Translation
The Effect of Plant Growth Promoting Rhizobacteria (PGPR) on Germination, Seedling Growth and Yield of Maize
Deep Reinforcement Learning from Policy-Dependent Human Feedback
3D marker-controlled watershed for kidney segmentation in clinical CT exams
Solutions for a cultivated planet