Rosette Base Linguistics is featured in some of the world’s most widely used information retrieval and text mining applications, where it performs critical functions such as tokenization, decompounding, and part-of-speech (POS) tagging. What sets this product apart is the way it’s been built.
“Basis Technology’s Rosette Base Linguistics analyzers have been essential in helping us build a strong customer base among large multinational companies. Incorporating these high-quality, high-performance linguistic engines into our enterprise search products has allowed us to meet the demands of organizations that need advanced search and navigation capabilities in multiple languages.”— Mark Watkins, Vice President of Development, Endeca
Rosette Base Linguistics relies on a morphological approach to analyzing text in different languages. This means that Rosette works with the specific features of a given language: punctuation, actual words, word forms and affixes. Analysis is further backed up by dictionary data for key functions such as lemmatization and POS tagging.
By applying a deep understanding of an actual language, we can continually improve Rosette Base Linguistics over time by introducing additions to the dictionary and new state-of-the-art linguistic methods that are specific to those languages. We are also continuing to add languages.
Please contact email@example.com for more information about upcoming releases.
For more information on Rosette Base Linguistics, download the product datasheet, request a product evaluation, or read a whitepaper entitled, Morphological Analysis Searches for You—Intelligently.