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.ipynb_checkpoints

.ipynb_checkpoints

 
 

data

data

 
 

.gitignore

.gitignore

 
 

LICENSE

LICENSE

 
 

README.md

README.md

 
 

before.png

before.png

 
 

english.png

english.png

 
 

mapping.png

mapping.png

 
 

mapping.pth

mapping.pth

 
 

nohup.out

nohup.out

 
 

spanish.png

spanish.png

 
 

unsupervised_final.ipynb

unsupervised_final.ipynb

 
 

unsupervised_spanish_eng_cluster.ipynb

unsupervised_spanish_eng_cluster.ipynb

 
 

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Running the code

Run the python notebook - unsupervised_final.ipynb

Before Training

Before training

After Training for 500000 epochs we got 13056 word pairs. Refining it further using Procrustes, the mapping improved and 14427 word pairs were generated. The mean cosine is 0.7254.

After Training

Multilingual embedding space

Clusters before Training

English Spanish

About

An implementation of Unsupervised Word Embeddings

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Unlicense license
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