Notably for Turkish, adding linguistic features and using 100% automatically generated noisy training data, our approach achieves the same performance as the baseline model using 75% manually created clean data and 25% automatically created noisy data.
explicit linguistic knowledge has significantly saved annotation cost (2,367 sentences).