A Bi-LSTM attention model for romanized-to-Malayalam transliteration achieves 7.4% CER on standard patterns but degrades to 22.7% when vowels are omitted.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Romanized to Native Malayalam Script Transliteration Using an Encoder-Decoder Framework
A Bi-LSTM attention model for romanized-to-Malayalam transliteration achieves 7.4% CER on standard patterns but degrades to 22.7% when vowels are omitted.