Machinese is a suite of well-supported software components and practical solutions to normalize, categorize and extract concepts, names, facts and other text analytics from documents written for diverse audiences in many languages. Machinese products are designed to serve both volume- and knowledge-intensive applications. Applications related to search, data mining, indexing, document clustering and routing often need to process huge amounts of data. Connexor's Machinese libraries transform naturally occurring text into linguistically analysed structured data that makes more sense to knowledge-intensive applications, to the benefit of the information consumer/analyst.
Machinese Phrase Tagger is a set of program components that performs basic linguistic analysis tasks. It splits raw text into understandable word units and provides the possible base forms and classes for words.
Machinese Syntax provides a full analysis of texts by showing how words and concepts relate to each other in sentences.
Machinese Semantics is a semantic analyzer that provides semantic role recognition as well as grammatical, lexical and sentential semantic features.
Connexor Machinese Metadata is a high-performance text analytics and metadata automation solution, which extracts information in ten different languages.
As the above includes some terms not necessarily known to all readers, glossary provides explanations for the key terms relating to Connexor technologies.