Supervisor: dr inż Piotr Andruszkiewicz
Warsaw University of Technology, Poland
Abstract is here abstract_en_ua_pl.md
- data - embeddings and datasets
- notebooks - code of experiments
- results - gathered and processed outputs of experiments described in thesis
|- 1-parameters-choosing - preparational experiments before main training
\- 2-main-training - training of EN, ES models, EN model retraining and further training of ES model
Embeddings should be downloaded separately from original repo. See README in 'kod/data/embeddings/fasttext/multi/'.
To run code you need to have some python packages, to install run the command below:
pip3 install tensorflow==1.12 keras numpy scikit-learn matplotlib nltk bs4 contractions inflect textsearch
Note 1 TensorFlow version must be >=1.12 and <=1.14 (tested).
Note 2 For running on GPU install tensorflow-gpu instead of tensorflow.
Note 3 For help with GPU installation of TF and/or downloading used python wheel which I compiled look here
Running these notebooks is the same as runing any typical Jupyter notebook:
- go to the 'kod' directory in terminal and run "jupyter notebook"
- in browser choose notebook you want to run
