By Ravi Kumar
Watch the video below, then read the summary.
Watch on YouTube (about 12 minutes)
Summary
This is the second session in the Modlingua series on controlling errors in content writing and translation. The first session introduced the Modlingua Rubric and its 10-point agenda. Ravi Kumar explains that manual study against the rubric is still recommended, but AI tools can now help as well. Out of many grammar, spell and sentence-structure checkers, he chooses Grammarly and shows how to use it in line with the rubric.
What the session covers
- Installing Grammarly. Search for Grammarly, choose "Grammarly for Chrome" and click "Add to Chrome". The installation is simple, and a green circular icon appears once it is active.
- Where it works. The Chrome extension works online only, for example in Gmail or in a web form. For MS Word you need to install Grammarly for MS Word separately.
- Free and paid versions. The free version catches basic errors such as articles, punctuation, spaces, hyphens and commas. These are often overlooked in content writing. The paid version goes deeper, and he says it is worth adding.
- Live demonstration. He pastes an intern profile into the Modlingua admin panel. The built-in spell checker flags some items, but its suggestions are sometimes wrong, so you have to apply your own judgment. Grammarly then picks up errors in a fraction of a second, such as missing articles and a missing comma, and points to 23 further corrections on structure and similar issues, which need an upgrade.
- Workflow advice. Fix the small mistakes first, then do a final reading and publish. Combining manual quality control with an AI tool improves the work and, in his estimate, cuts the time spent on quality control by at least half.
He closes by saying the next session will cover more AI tools for writing, translation and editing.
Who this is for
Translators, writers, editors and interns who want a faster proofreading routine that still follows a clear quality standard.
Related reading
Read CAT tools and machine translation: how IT supports translators and Why IT is relevant in translation.
