Inference Multi-Language Analysis & Review

Inference's technology is intrinsically language independent across both standard Boolean searching as well as Conceptual Analyses. Built on advanced concept-matching technology, Inference achieves language agnosticism at a fundamental level. Inference uses a unique combination of Bayesian Mathematics and Shannon’s Information Theory to apply Adaptive Probabilistic Concept Modeling to build a conceptual understanding of the information it analyzes.

Inference analyzes the text within the information, examining and determining the patterns of language and the symbols used therein. Words are treated as symbols of meaning, and understanding is derived through a mathematic analysis of the context of their occurrence, rather than a rigid definition of grammar, dictionaries, or thesaurus.

With Inference, users can analyze and review documents and communications in more than 100 foreign languages, including Unicode, single and double-byte characters. Inference foreign language is linguistically adaptive and recognizes patterns in any form of speech, enabling users to search across native and foreign language documents, and conceptually organize and review records from across the entire dataset, regardless of whether dialect, colloquial or slang speech is used.

Supported Languages¹:

¹ This subset represents the most commonly requested languages.