Encoder-Decoder models

In this project, the following models are implemented:

Requirements

Python 3.6
Tensorflow 1.8

usage

python run.py --model=BasicSeq2Seq
python run.py --model=AttenNet
python run.py --model=CopyNet

Experiment

I build a toy task: word reconstruction. e.g. ‘cambridge’ → Encoder → Decoder → ‘cambridge’
Training data : ~20k English words
Testing data : 1K English words
Vocabulary : ‘a’,’b’,...’w’,’<EOS>’,’<BOS>’,’<UNK>’
OOV tokens: ‘x’,’y’,’z’.

Results

After around 1 epoch traning, the results are:

Model	Accu
Seq2Seq	0.9544
Attention	0.9966
Copy	1.0000

Test samples

These samples are tested :
'circumstances', 'affirmative', 'corresponding', 'caraphernology','experimentation', 'dizziness','harambelover', 'terrifyingly','axbycydxexfyzxx'

Seq2Seq

true output: c i r c u m s t a n c e s 
pred output: c i m p h p s t a n s e s 

true output: a f f i r m a t i v e 
pred output: a p h i m m a t i s e 

true output: c o r r e s p o n d i n g 
pred output: c o r s r s p o n g i n g 

true output: c a r a p h e r n o l o g <UNK>
pred output: c a m u p p e r o o r e n e

true output: e <UNK> p e r i m e n t a t i o n
pred output: e r     p e r i s e t t a s i o n

true output: d i <UNK> <UNK> i n e s s
pred output: d i r     r     i n e s s

true output: h a r a m b e l o v e r
pred output: m a m a b b l m u t e s

true output: t e r r i f <UNK> i n g l <UNK>
pred output: t e r p l p  e    i n e l <UNK>

true output: a <UNK> b <UNK> c <UNK> d <UNK> e <UNK> f <UNK> <UNK> <UNK> <UNK>     
pred output: a   m   b   r   s <UNK> r <UNK> r  r    p  e    r      r      l

Attention

true output: c i r c u m s t a n c e s 
pred output: c o r c u m s t a n c s s
true output: a f f i r m a t i v e 
pred output: a f f i r m a t i v e 
true output: c o r r e s p o n d i n g 
pred output: c o r r e s p o n d i n g
true output: c a r a p h e r n o l o g <UNK> 
pred output: c o e h p h e r n o l o g <UNK> 
true output: e <UNK> p e r i m e n t a t i o n 
pred output: e e     p e a e m e n t a t i o n
true output: d i <UNK> <UNK> i n e s s 
pred output: d i <UNK> <UNK> i n e s s 
true output: h a r a m b e l o v e r 
pred output: h a r a m b e l o v e r
true output: t e r r i f <UNK> i n g l <UNK>
pred output: t e r r i f <UNK> i n g l <UNK>
true output: a <UNK>   b   <UNK>   c  <UNK> d <UNK> e <UNK> f <UNK> <UNK> <UNK> <UNK> 
pred output: c <UNK> <UNK> <UNK> <UNK> d    d <UNK> e <UNK> f <UNK> <UNK> <UNK> <UNK>

CopyNet

true output: c i r c u m s t a n c e s 
pred output: c i r c u m s t a n c e s

true output: a f f i r m a t i v e 
pred output: a f f i r m a t i v e 

true output: c o r r e s p o n d i n g 
pred output: c o r r e s p o n d i n g 

true output: c a r a p h e r n o l o g y
pred output: c a r a p h e r n o l o g y

true output: e x p e r i m e n t a t i o n 
pred output: e x p e r i m e n t a t i o n 

true output: d i z z i n e s s 
pred output: d i z z i n e s s 

true output: h a r a m b e l o v e r
pred output: h a r a m b e l o v e r

true output: t e r r i f y i n g l y 
pred output: t e r r i f y i n g l y 

true output: a x b y c y d x e x f y z x x y 
pred output: a x b y c y d x e y d y z x x y

Almost 100% correct

ChuanMeng/Seq2Seq-Models