Language Identification of Bengali-English Code-Mixed data using Character & Phonetic based LSTM Models
Table 2: Character model results (in %).
['[BOLD] Model', '[BOLD] Acc', '[BOLD] Prec', '[BOLD] Rec', '[BOLD] F1']
Simple round up on the fuzzy output gave an accuracy of 91.50%. Using brute force, the threshold where the accuracy is peaking on the development data was found to be at θ ≤ 0.92. This showed a slight improvement in accuracy by 0.66%. Finally, on test data, this tuned model gave an accuracy of 91.71%.