Smart Content for Full Insight Into Your Content and Enhanced Localization

Smart Content’s AI-powered algorithms assess, grade, and tag your source content based on 120+ attributes. Our traffic light scorecard identifies issues during every step of the process. This enables you to address issues before sending your content to localization. That way, you avoid costly rework. 

Content tagging

It’s critical to understanding content to successfully allocate work to translators and determine the right localization workflows. Smart Content detects attributes like source language, domain, and customer affinity and uses this metadata to automate your workflows and make your localization process smarter.

 

Readability

How easy will it be for readers to understand your content? The Smart Content solution answers this question by putting your text through readability tests. Our tests are based on a custom blend of the Flesh-Kincaid readability test, the Gunning-Fog Index, the SMOG Index, and other measures that best fit your content to ensure it is most engaging and conveys its message clearly.

 

Structural Composition

The longer and more complicated your sentence structures, the harder they are to understand. They will perform suboptimally. Smart Content algorithms assess the length of your sentences, grammar, noun phrasing, and other sentence structure features to ensure you make the best impression on your readers.      

Inclusion

How can you develop rapport with existing customers and prospects? One way to do it is by using inclusive language. The Smart Content solution flags offensive terms, non-inclusive terminology, and gender bias so you can remove problematic language and create welcoming copy in every language you support. This proprietary technology leverages Machine Learning (ML) to also detect inoffensive words used in an insulting way.

 

 

Content Complexity

Will your copy resonate with your target audience? Smart Content examines your source content’s lexical density and  diversity to determine the complexity of your text. That way, you can ensure the content easy to digest. This maximizes its performance. 

Translation Memory

How much of your copy contains exact matches to translation memory? How much of it contains fuzzy or less than perfect matches? Smart Content analysis provides predictive scoring on the matching levels, so your content is translated across languages perfectly and efficiently.

Do Not Translate Terminology

It is often in your best interest not to translate proprietary terms. If you use too many of these phrases, your readers may lose interest in your copy or find it less meaningful. Smart Content uses proprietary Machine Learning (ML) algorithms to identify your Do Not Translate (DNT) terminology and measure how frequently these terms appear in your copy, so you use them judiciously. The technology also reduces the number of questions from translators, decreasing translation times and project management hours.