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    Development of Natural Language Processing Tools for Cook Islands Māori

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    https://www.aclweb.org/anthology/U18-1003
    Abstract
    This paper presents three ongoing projects for NLP in Cook Islands Ma ̄ori: Un- trained Forced Alignment (approx. 9% er- ror when detecting the center of words), automatic speech recognition (37% WER in the best trained models) and automatic part-of-speech tagging (92% accuracy for the best performing model). These new re- sources fill existing gaps in NLP for the language, including gold standard POS- tagged written corpora, transcribed speech corpora, and time-aligned corpora down to the phoneme level. These are part of efforts to accelerate the documentation of Cook Islands Ma ̄ori and to increase its vi- tality amongst its users.
    Citation
    Proceedings of Australasian Language Technology Association Workshop, 2018, pp. 26` - 33
    Date
    2018
    Author
    Coto Solano, R
    Nicholas, S
    Wray, S
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