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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Serial verb constructions (SVCs) in Chinese are popular structural ambiguities which make parsing difficult. In this paper, we propose a quantitative model, 'S-model'. based on theta grids information, that can systematically resolve ambiguities of SVCs to arbitrate competence between verbs in parsing SVCs sentences. S-model has three major characteristics: (1) it can resolve SVCs without relying on specific types of SVCs classified by linguists; (2) it can handle long SVCs, i.e., SVCs with more than two verbs; (3) it can simultaneously determine whether a verb candidate is really acts as a verb in the sentence.

Hypothesis scoring over theta grids information in parsing Chinese sentences with serial verb constructions