An exclusive cloud-based solution to automate and streamline your production cycle, Vedas is globally accessible via any web browser. Employing the cutting-edge technology of natural language processing (NLP) and artificial intelligence (AI), this proprietary workflow solution enhances the efficiency of previously time-consuming tasks such as pre-editing, copy editing, XML conversion, and author proofing.
Vedas relies on automation to ensure a record turnaround time of 24 hours for pre-editing and copyediting and it also mitigates the risk of human error. Utilizing Vedas has enabled our clients to adhere to stringent content delivery timelines, handle high-volume projects effortlessly, and receive content in ready-to-publish formats that are compatible with any platform and device.
Vedas fully automates the pre-editing process of a journal article by structuring the document into the front, body, and back sections, and identifying the reference types. The content of the front section is further classified based on the author group(s), affiliations, abstract, keywords, and more. Vedas utilizes core NLP machine learning as well as pattern matching to ensure that the bibliography is well-organized, and it accurately cites figures, tables, and references. Furthermore, Vedas cross-references against relevant websites and inserts the DOI number in all journal references, inserts all missing elements, and automatically inserts queries when required. Vedas also refers to Transforma’s comprehensive database to correctly identify genus species, enzymes, and Latin terminology.
Vedas' sophisticated editing system speeds up the copyediting process and reduces the burden on the editorial team by flagging potential errors and offering replacement suggestions. It generates a report about UK and US spelling of words found in the text and offers options to change the spelling. Similarly, Vedas can perform probability checks, flag inconsistencies in hyphens/en-dash, upper- and lowercase, abbreviations/expansion, and keywords, and offer accurate replacement options.
Vedas can efficiently and precisely transform the structured content into XML, based on your specifications and policies, thus ensuring that your content is easy to access, reuse, and repurpose. We also offer parsing options along with an XML viewer to read, structure, and convert all your data into the highly flexible and effective format of XML.
Vedas harnesses XML and HTML5 technology, which means that the content can be directly accessed by authors via any browser and device across the globe. It features the cascading style sheets approach to display and edit XML files, enabling authors to conveniently carry out corrections and respond to queries in the same document as the editors. Moreover, a sophisticated Reference Edit tool allows authors to insert new elements into a pre-existing reference as well as offers the option to insert a new reference based on the DOI number and plain text. As soon as a new element is inserted, the new reference is structured in a jiffy!