Coreon Multilingual Search is an advanced search solution built on ESTeam ALiSe and Apache Solr, designed to deliver linguistically intelligent, cross-language search capabilities. Unlike conventional search engines that rely on basic string or pattern matching, Coreon’s approach leverages morphology, compound analysis, and built-in word nets to recognize concepts even when terms differ or are missing. It enables users to discover information through semantic understanding, supporting use cases like terminology management, text annotation, and multilingual content discovery21.

Key Features

Linguistic Intelligence Enhances search with deep language understanding.

• Recognizes morphological variations and compound words.
• Goes beyond brute-force fuzzy matching to understand meaning.

Morphology and Compound Analysis Finds concepts despite term variations.

• Identifies related terms, even if not explicitly present.
• Example: Searching for "dried flowers" returns "dehydrated plants".

Term Recognition and Text Annotation Detects terms within full sentences.

• Users can submit entire sentences as queries.
• Automatically highlights found terms for consistency in CAT and annotation tools.

Multilingual Capability Searches and matches across multiple languages.

• Supports global teams and multilingual content management.
• Ensures semantic accuracy regardless of language.

Benefits

Improved Discovery Finds relevant information beyond exact matches.

• Increases search accuracy in large, multilingual datasets.
• Reduces missed results due to linguistic variations.

Enhanced Consistency Supports terminology and content management.

• Ensures consistent use of terms across documents and languages.
• Facilitates quality control in translation and authoring workflows.

Efficiency in Text Processing Automates term recognition and annotation.

• Saves time for users in content creation and review.
• Reduces manual effort in identifying terminology.