Advanced Language Packs provide complex logic for language processing, to result in highly accurate classification.
Semaphore Advanced Language Packs help you extract the vocabulary and relationships from your classification model so information can be put in the context of the business. Using analytics and natural language processing strategies such as stemming, tokenization, lemmatization and part of speech tagging, you can identify the sentiment and context within unstructured information and use it to identify trends, discover patterns and improve your organization.
The process begins with Semaphore Ontology Editor where you create a taxonomy/ontology/model that reflects the topics, concepts and unique characteristics of the organization as well as your fact extraction strategy. Semaphore Rulebase Generator creates rulebases directly from the model and Classification Server uses them to perform precise, complete and consistent metadata tagging.
Advanced Language Packs use part-of-speech tagging, which identifies a word’s grammatical category (i.e. noun, verb). This information is used in conjunction with rule logic to perform complex matching. With Semaphore, information can be analyzed in bulk, Semaphore can then generate RDF triples and use graph based technology to visualize results and drive information discovery.
Semaphore Advanced Language Packs are available in languages such as, Arabic, Bokmål, Catalan, Croatian, and Chinese (Simplified and Traditional), Czech, Danish, Dutch, English, Finnish, French, German, Italian, Japanese, Korean, Nynorsk, Polish, Portuguese, Russian, Serbian, Slovak, Slovenian and Spanish languages.
Advanced Language Packs use a number of sophisticated linguistic strategies to analyze unstructured information and identify sentiment, context and meaning:
Advanced Language Packs are available in more than 30 languages, discover the power of Semaphore Advanced Language Packs, download our fact sheet.
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|Advanced Language Packs|
|Search Application Framework|
|Semantic Enhancement Server|