Papers with Hawaiian

2 papers
Recovering Missing Characters in Old Hawaiian Writing (D18-1)

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Challenge: Modern Hawaiian orthography includes characters for long vowels and glottal stops . manual transliteration is laborious when performed manually .
Approach: They propose two methods to help transliterate Hawaiian between older and newer texts automatically using finite state transducers and a recurrent neural network language model.
Outcome: The proposed method solves the transliteration problem automatically using finite state transducers and a neural network language model.
Statistical and Neural Methods for Hawaiian Orthography Modernization (2025.emnlp-main)

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Challenge: Hawaiian orthography employs two distinct spelling systems, both of which are used by communities of speakers today.
Approach: They develop models that convert between the ‘okina letter and kahak diacritic, which represent glottal stops and long vowels, respectively.
Outcome: The proposed models outperform neural seq2seq models and LLMs in a low-resource setting, highlighting the potential for traditional machine learning approaches in . low-cost environments.

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