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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

This paper presents the extraction of Complex Predicates (CPs) in Oriya based on shallow morphology and available seed lists of verbs. Generally Oriya language is a free word order language. Free word order languages have relatively unrestricted local word group or phrase structures that make the problem of complex predicates extraction quite challenging. The complex predicates are generally the special multi word expression which is extracted with a special emphasis on compound verbs (Verb + Verb) and conjunct verbs (Noun /Adjective +Verb)/ (Verb + Noun /Adjective). The lexicalization of compound and conjunct verbs is done based on the information of shallow morphology. Lexical scopes of compound and conjunct verbs in consecutive sequence of Complex Predicates (CPs) have been identified. Aim of the current work is, to investigate the possibility of improving the accuracy of complex predicates extraction making it sensitive to verb sub categorization and to evaluate the recall, precision and Fscore on different operational environment.

Shallow morphology based complex predicates extraction in Oriya