  This paper describes our submission system for the Shallow Track of Surface
Realization Shared Task 2018 (SRST'18). The task was to convert genuine UD
structures, from which word order information had been removed and the tokens
had been lemmatized, into their correct sentential form. We divide the problem
statement into two parts, word reinflection and correct word order prediction.
For the first sub-problem, we use a Long Short Term Memory based
Encoder-Decoder approach. For the second sub-problem, we present a Language
Model (LM) based approach. We apply two different sub-approaches in the LM
Based approach and the combined result of these two approaches is considered as
the final output of the system.
