AbetiAbebe/Translitration-From-Oromiffa-To-Amharic

Transliteration for Affan orommo to amharic language Pyhton base machine learnign model with 6k datasets scraped from the web, telegram channels and other sources # tf-transliteration TensorFlow implementation of the Google Transliteration model in the paper Sequence-to-sequence neural network models for transliteration. Specifically it implements the BiLSTM-CTC model using Epsilon Insertion. ### Usage For the code to run you need Python 3.5+ and Tensorflow 1.5+ **Training:** The dataset must be provided as tab separated files. You can get an English-to-Hindi transliteration dataset here Train the model for 10,000 steps, evaluating every 1000 steps: ``` python transliterate.py --data_file= --train_steps=10000 --eval_steps=100 --min_eval_frequency=1000 ``` During evaluation the CER will be displayed. **Predicting:** For predictions the inputs should be provided as a text file with one example per line. ``` python transliterate.py --decode_input_file= ``` The predictions will be written into a corresponding `filename.out.ext`