Papers with morphological dictionaries

    1 papers
    Building Large-Scale Japanese Pronunciation-Annotated Corpora for Reading Heteronymous Logograms (2022.lrec-1)

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    Challenge: Especially in Japanese, there are many common heteronyms expressed by logograms (Chinese characters or kanji) that have totally different pronunciations.
    Approach: They construct large-scale Japanese corpora that annotate kanji characters with their pronunciations to improve the accuracy of pronunciation prediction models.
    Outcome: The proposed models achieve an average accuracy of 0.939 for 203 common heteronyms and a 0.938 for 93 heters.

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