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

This work proposes OCLAS (Organic Chemistry Language Ambiguity Solver), an automatic system to\udanalyze syntactically and semantically Organic Chemistry compound names and to generate the pictures\udof their chemical structures. If both parses detect that the input name corresponds to a theoretically\udpossible organic chemical compound, the system generates its molecular structure picture, whether or\udnot the name respects the current official nomenclature. This capacity of treating even names which, in\udspite of do not respect the constraints of the official nomenclatures, correspond to theoretically possible\udorganic compound, represents an advance of OCLAS compared to other existing systems. OCLAS counts\udon the following tools: Generative Lexicon Theory (GLT), Parser Combinators and the Language Clean\udand an extension of the Xymtec package of Latex. The implemented system represents a helpful and\udfriendly utilitarian as an automatic Organic Chemistry instructor. \u

Analysis Of Names Of Organic Chemical Compounds By Using Parser Combinators And The Generative Lexicon Theory