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A Multitask Learning Approach for Diacritic Restoration
Such diacritics are often omitted in written text, increasing the number of possible pronunciations and meanings for a word.
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding
Prior to the transformer era, bidirectional Long Short-Term Memory (BLSTM) has been the dominant modeling architecture for neural machine translation and question answering.
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Efficient Convolutional Neural Networks for Diacritic Restoration
Diacritic restoration has gained importance with the growing need for machines to understand written texts.
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