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Multingually Linked Data
We annotate and match multilingual datasets to bridge the gap in data connectivity. Multilingual Linked Data (MLD) refers to interconnected datasets that are structured to support multiple languages, enabling seamless data integration, retrieval, and interoperability across linguistic and cultural boundaries. It plays a crucial role in knowledge representation, semantic search, and AI-driven multilingual applications.
Meet The Team
Data Architect with expertise in corpus creation, syntactic and semantic annotation, grammar development, Chakir applies NLP features to evaluate and refine the language model for the improvement of NLP applications.

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