Extracting Meaningful Intelligence from Multilingual Text

Rosette Text Analytics is from Basis Technology, the leading provider of software solutions for extracting meaningful intelligence from multilingual text. Our mission is to improve the process of extracting meaningful intelligence from unstructured multilingual text by developing the industry’s best software.

Over 200 Leading Firms Rely on Our Software

Since our founding in 1995, our products and services have been used by over two hundred major firms, including Amazon.com, EMC, Endeca/Oracle, Exalead/Dassault, Fujitsu, Google, Hewlett-Packard, Microsoft, Oracle, and governments around the world.

Our language analysis and digital forensics software is widely used in the U.S. defense and intelligence industry by firms such as BBN, CACI, Lockheed Martin, MITRE, Northrop Grumman, and SAIC. We’re also the top provider of Asian linguistic technology to web search engines, including Ask.com, Google, Microsoft Bing, and Yahoo!.

Computational Linguistics and Digital Forensics Expertise

Through these relationships, we’ve developed a reputation for deep expertise in computational linguistics and digital forensics, an uncompromising commitment to providing quality software and services, and dedication to serving our customers’ needs with unparalleled support.

Our Rosette text analytics toolkit uses state of the art natural language processing techniques to improve information retrieval, text mining, machine learning, statistics, and computational linguistics. Rosette provides capabilities like identifying the language of incoming text, providing a normalized representation in Unicode, and locating names, places and other key concepts from a body of unstructured text.

img_about_googleMost Widely Used Software for Multilingual Information Retrieval

Rosette is the world’s most widely-used family of commercial software products for multilingual information retrieval. Its reliability, scalability, accuracy, and strict compliance with industry and international standards have been put to the test in high volume transaction environments, such as Google’s multilingual search engine, PeopleSoft’s human capital management software, and Amazon.com’s global e-commerce system.