Deep Content


Deep Content

’Semantic Enrichment’

Phil Ritchie, CTO Vistatec

Deep Content adds semantic depth to content.

Deep Content uses technologies such as entity recognition and internet knowledge graph queries to automatically annotate words and phrases in your digital content with facts and links to pertinent reference resources. This adds semantic depth to the content itself thus promoting end-user utility and usefulness, and increasing value to content publishers and marketers.

Deep Content is one of the state-of-the-art technologies along with Neural Machine Translation, Adaptive Machine Translation, and others, which is sweeping through the industry inducing buyers and suppliers alike to re-evaluate how they take their brands and messaging to target markets.

As well as piquing the interest of translation buyers, Deep Content has also been noticed and endorsed by industry analysts such as Common Sense Advisory who reported on it individually in their article “Zen and the Art of Localizing Code and Content” and then citing it among the four new technologies powering the new paradigm of the Augmented Translator.

If you thought that Deep Content probably won’t integrate with your content types and publishing mechanisms then reconsider: Deep Content uses open standards such as RDF, XML, XLIFF, and HTML5 to enable the widest possible adoption.

This article first appeared in VTQ Magazine. 
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