Language Identification of Bengali-English Code-Mixed data using Character & Phonetic based LSTM Models
Table 3: Phonetic model results (in %).
['[BOLD] Model', '[BOLD] Acc', '[BOLD] Prec', '[BOLD] Rec', '[BOLD] F1']
On simple roundup on development data, the accuracy was not very good (82.5%), but using a similar threshold technique as used in the character model, the accuracy improved significantly (6.16%) and reached 88.66%. The threshold in this case was calculated to be θ ≤ 0.95. Using threshold, the accuracy achieved on the test data was 90.42% and a precision of 91.74% which is slightly better than the character model.