Translation Memory Matching and Retrieval using Deep

Semantics Rohit Gupta (ESR4)

University of Wolverhampton

Long Short Term Memory Networks

An  Unfolded  LSTM  Network  

Input  Gate  

Forget  Gate  

Output  Gate  

Motivation

S1:  without  removing  punctuations,  S2:  removed  punctuations  

Motivation

S1:  without  removing  punctuations,  S2:  removed  punctuations  

Motivation

METEOR:  higher  is  better,  BLEU:  higher  is  better,  TER:  lower  is  better  

*  results  are  significant  (p<0.01)  

#Segments:  the  number  of  segments  for  which  edit-­‐distance  and  LSTM  match  differ    

Motivation

METEOR:  higher  is  better,  BLEU:  higher  is  better,  TER:  lower  is  better  

*  results  are  significant  (p<0.01)  

#Segments:  the  number  of  segments  for  which  edit-­‐distance  and  LSTM  match  differ    

METEOR  edit-­‐

distance  

Motivation

METEOR:  higher  is  better,  BLEU:  higher  is  better,  TER:  lower  is  better  

*  results  are  significant  (p<0.01)  

#Segments:  the  number  of  segments  for  which  edit-­‐distance  and  LSTM  match  differ    

METEOR  edit-­‐

distance  

METEOR  our  LSTM  model  

Thank you!