1 INTRODUCTION

2 BACKGROUND  
2.1 Low-Resource Languages (LRLs)  
2.2 Related Work  
2.3 Scope of the Survey  

3 NMT TECHNIQUES FOR LOW-RESOURCE LANGUAGES  
3.1 Overview  
3.2 Data Augmentation Techniques  
3.3 Unsupervised NMT  
3.4 Semi-Supervised NMT  
3.5 Multilingual NMT  
3.6 Transfer Learning in NMT  
3.7 Zero-shot NMT  

4 GUIDELINES TO SELECT A TECHNIQUE FOR A GIVEN DATA SPECIFICATION  

5 LANDSCAPE OF LOW-RESOURCE LANGUAGES AND NMT RESEARCH  

6 DISCUSSION  
6.1 Open Questions for LRL-NMT and Future Directions  
6.2 Answering the Research Questions  

7 CONCLUSIONS