Unstructured Text

The following demos illustrate the efficacy of Celatro's language-specific approach to the processing of unstructured lexical data.

With Celatro, lexical data can be processed using alphabets, tokenizers, stemmers, phonetic similarity scorers, score aggregators, and so on - tools that are available for all widely spoken languages (e.g., English alphabets, Chinese tokenizers, and so on), and that can be readily adapted to work against any language, natural or artificial.

As these demos illustrate, this approach yields both open-ended flexibility and speed:

• Tokenization: This demo illustrates Celatro's ability to quickly tokenize various types of documents.
• Document Indexing: This demo illustrates Celatro's ability to quickly index various types of documents.
• Free Form Text Search: This demo shows Celatro's ability to quickly process text and deliver inexact-match results for any pattern you submit.
• Stemming: This demo illustrates Celatro's stemming ability.