Text normalization based on deep learning considering similarities in terms of strings and sounds

DOI

Bibliographic Information

Other Title
  • 文字列・音の類似度を考慮した深層学習に基づくテキストの正規化

Abstract

<p>In this paper, we propose deep learning based models that can normalize text by considering the similarities of word strings and sounds. In the experiments, we compare the model that considers both the similarities of word strings and sounds, the model that considers only the similarity of word strings and of sounds, and the model without the similarities as a baseline model. As a result, all the proposed models achieved higher F1 score than the baseline model.</p>

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Keywords

Details 詳細情報について

  • CRID
    1390285300166233984
  • NII Article ID
    130007857138
  • DOI
    10.11517/pjsai.jsai2020.0_3rin409
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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