English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Japanese texts frequently suffer from the homophone errors caused by the KANA-KANJI conversion needed to input the text. It is critical, therefore, for Japanese revision support systems to detect and to correct homophone errors. This paper proposes a method for detecting and correcting Japanese homophone errors in compound nouns. This method can not only detect Japanese homophone errors in compound nouns, but also can find the correct candidates for the detected errors automatically. Finding the correct candidates is one superiority of this method over existing methods. The basis idea of this method is that a compound noun component places some restrictions on the semantic categories of the adjoining words. The method accurately determines that a homophone is misused in a compound noun if one or both of its neighbors is not a member of the semantic set defined by the homophone. Also, the method successfully indicates the correct candidates for the detected homophone errors.

Handling Japanese homophone errors in revision support system for Japanese texts