Great Software With Quality Management Tools To Help Translate and Review Content.
Use Cases and Deployment Scope
Lilt is a platform that my organization uses to localize its products(such as web pages, apps, agreements, etc.) to cater to different countries and their languages. The platform provides various tools to help the user translate the words and provide feedback on the quality of translation, their meaning, and their "exact and fuzzy matches" to the required scenario. It provides a clear, concise, and step-by-step level of translation to keep track of progress along with tools like QA checks to ascertain the final quality of the finished translations. Along with translators working on a case, reviewers can also be assigned to recheck the work done by the translators. In my experience, I use Lilt along with applications such as Contentful to keep track implementation of the work in the actual use site. Lilt is not a perfect platform and has problems understanding punctuations and grammar when it comes to non-mainstream languages.
Pros
- Provide exact and fuzzy match feedback for translations
- Provide step by step segmented workflow for translating
- Great QA checks including Batch and Full to help detecting errors
- Good machine translation feedback to help translators
Cons
- Provide greater quality feedback for non-mainstream languages such as Indian regional
- Improve punctuation and grammar fluency for non-mainstream languages
- Fix long standing bug issues in QA check reporting mechanism
Likelihood to Recommend
Lilt is a great platform for translating and reviewing content for mainstream languages that are spoken by a large number of people such as Spanish, French, etc. in which case the machine translation tool does a great job of adding the appropriate fluency, grammar, and punctuations. The QA checks also likewise provide apt feedback with rarely any errors. The only shortfall for Lilt is when the content to be translated belongs to any non-mainstream languages (such as regional Indian state ones) and the most noticeable errors are thrown by the QA check tools which have several long-standing unfixed bugs.
