Papers with diacritics restoration
Diacritics Restoration Using Neural Networks (L18-1)
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| Challenge: | a novel combination of character-level recurrent neural network and language model is proposed . people often replace characters with diacritics with their ASCII counterparts . |
| Approach: | They propose a character-level recurrent neural network-based model and a language model for diacritics restoration. |
| Outcome: | The proposed model reduces error of current best systems by 20% to 64% on four languages . it is also able to restore diacritical marks on a number of languages using the same model . |
Dilated Convolutional Neural Networks for Lightweight Diacritics Restoration (2022.lrec-1)
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| Challenge: | Diacritics restoration is a ubiquitous task in the Latin-alphabet-based English-dominated Internet language environment. |
| Approach: | They propose a 1D dilated convolution-based approach which operates on a character-level. |
| Outcome: | The proposed approach surpasses similar models and is competitive with larger models. |
RoBERT – A Romanian BERT Model (2020.coling-main)
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| Challenge: | Existing pre-trained language models learn contextualized representations by using unlabeled text data and obtain state of the art results on a multitude of NLP tasks. |
| Approach: | They propose a pre-trained BERT model for Romanian language processing and compare it with multi-lingual models on seven Romanian specific NLP tasks. |
| Outcome: | The proposed model outperforms multi-lingual models on seven Romanian specific NLP tasks on sentiment analysis, dialect and cross-dialect topic identification, and diacritics restoration. |