The actual data contains 3883 phrase pairs of English and Belarusian. The data was pre-processed and split into the train and test sets.
The model used is an encoder-decoder LSTM model. The architecture of the model is as follows:
-
Notifications
You must be signed in to change notification settings - Fork 0
yuliyamkh/by-en-machine-translation
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
A neural machine translation with Seq2Seq LSTM in Keras
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published