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Data flow: PoolParty ? Phrase Strings
Push approved taxonomy terms, product attributes, and controlled vocabulary from PoolParty into Phrase Strings to standardize translation keys and terminology across all localized content. This helps localization teams reuse approved terms consistently in UI strings, help content, and product messaging.
Data flow: PoolParty ? Phrase Strings
Use PoolParty semantic metadata to classify strings in Phrase Strings by product line, campaign, region, content type, or audience segment. This enables automated routing of strings to the right translation workflow, reviewer, or vendor based on business context.
Data flow: Phrase Strings ? PoolParty
Import approved translations, glossary entries, and translation memory terminology from Phrase Strings into PoolParty to enrich the enterprise knowledge graph. This creates a shared semantic layer that can be reused by search, content discovery, and metadata management teams.
Data flow: PoolParty ? Phrase Strings ? PoolParty
When taxonomy terms, category labels, or concept hierarchies are updated in PoolParty, send the labels to Phrase Strings for translation and then sync approved localized labels back into PoolParty. This keeps multilingual taxonomies aligned across websites, portals, and digital experiences.
Data flow: Phrase Strings ? PoolParty
After content is translated and published in Phrase Strings, send localized text to PoolParty for semantic enrichment and concept tagging. This improves search relevance, content recommendation, and topic-based navigation for each language version.
Data flow: Bi-directional
Use PoolParty to manage approved brand concepts, product names, and regulated terminology, then expose those terms to Phrase Strings as translation constraints or reference glossaries. Return translator-approved variants and usage notes back to PoolParty to maintain a governed multilingual terminology model.
Data flow: Bi-directional
Combine Phrase Strings localization status data with PoolParty semantic classifications to analyze which topics, product areas, or content types are most expensive or slow to localize. Business teams can use this insight to prioritize high-value content and optimize translation investment.