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

Lack of proper linguistic resources is the major challenges faced by theMachine Translation system developments when dealing with the resource poorlanguages. In this paper, we describe effective ways to utilize the lexicalresources to improve the quality of statistical machine translation. Ourresearch on the usage of lexical resources mainly focused on two ways, such as;augmenting the parallel corpus with more vocabulary and to provide various wordforms. We have augmented the training corpus with various lexical resourcessuch as lexical words, function words, kridanta pairs and verb phrases. We havedescribed the case studies, evaluations and detailed error analysis for bothMarathi to Hindi and Hindi to Marathi machine translation systems. From theevaluations we observed that, there is an incremental growth in the quality ofmachine translation as the usage of various lexical resources increases.Moreover, usage of various lexical resources helps to improve the coverage andquality of machine translation where limited parallel corpus is available.

Bilingual Words and Phrase Mappings for Marathi and Hindi SMT