LID_TCD

Dataset for Ethiopian language identification and topic classification

• This datset consists of 22,624 texts labled for two tasks:

  - Language identification: this task is used to identify the lanaguage a give text written in.
  - Topic classification: this task is also useful to classify the topics of a given text according to its content.
  

To run the code with Terminal use the following info.

# Load and Pre-process data
python preprocess.py

# Train
python train.py

# Test and results
python test.py

Some issues to know

1. The test environment is
   • Python 3.5.2
   • Keras 2.3.1
   • tensorflow 2.1.0

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