1 INTRODUCTION

2 OVERVIEW OF AT AND NAT MODELS

3 DATA MANIPULATIONS

4 MODELING

5 CRITERION

6 DECODING

7 BENEFITING FROM PRE-TRAINED MODELS

8 SUMMARY OF NON-AUTOREGRESSIVE NMT

9 EXTENSIVE APPLICATIONS BEYOND NMT

10 CONCLUSION AND OUTLOOKS