Pingar Signs Research Partnership with The Hong Kong Polytechnic University to Drive Advanced Analysis and Management of Chinese Text

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New research will strengthen technology to improve business intelligence and reduce risk

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Pingar recognizes the increasing importance of Chinese language in business and has invested in a research partnership with us to ensure its commercial solution incorporates the best Chinese language segmentation and name detection available

Pingar, a leading provider of unstructured data management solutions today announced it has entered into an agreement with The Hong Kong Polytechnic University (PolyU) to collaborate in and commercialise advanced research into Chinese language processing and analysis. This will help the increasing numbers of public and private organisations that need to manage documents in simplified and traditional Chinese and English to capture business intelligence from Chinese text documents, create efficiencies in business process operations and reduce corporate risk.

Organisations in all sectors including government, financial, legal, commercial, utilities and infrastructure that are conducting business in Hong Kong SAR and Mainland China need to manage a rising proportion of Chinese language documents. In line with global trends, more and more of these documents are unstructured files, and often all that can be easily detected about them is date of creation or modification and filename, making it difficult to determine if sensitive or useful content is contained within them.

Pingar’s research project with PolyU will rapidly accelerate development of the next version of Pingar’s Chinese language API. The Pingar API can be added to existing content and document management systems in order to more accurately and efficiently organise, summarise, analyse and share business information.

Mark Lunt, managing director, Pingar Hong Kong Ltd, says he is pleased at the high level of interest in Pingar’s technology from Hong Kong’s leading organizations.

“Organisations in China face huge challenges in managing unstructured text. Because of the structure of the language, there is a whole new dimension of complexity: it is very hard to resolve ambiguities and very easy to confuse names of people, places and organisations. Chinese text differs from other languages in that it does not contain punctuation – it is based on complex patterns, terms and combinations of characters,” Mr. Lunt continues.

“Businesses cannot tolerate error or incompleteness of data used for risk reduction or critical business intelligence solutions. PolyU’s advanced research, combined with the work being done by our in house specialists, will ensure that Pingar continues to provide efficient, fast and accurate solutions to the complex issues involved in analyzing and managing Chinese language material,” Mr. Lunt concludes.

Professor Eric Ngai, area coordinator of MIS, Department of Management and Marketing, PolyU, adds, “Traditional text mining solutions are hard pressed to make sense of Chinese documents because of these differences in sentence structure and composition.”

He continues, “Pingar recognizes the increasing importance of Chinese language in business and has invested in a research partnership with us to ensure its commercial solution incorporates the best Chinese language segmentation and name detection available. We are delighted to be entering into this partnership which will lead to the successful commercialisation of our research and help us achieve one of our university’s key strategic objectives.”

Pingar is committed to ongoing research and developing innovative technologies by undertaking advanced research both in-house and in collaboration with leading academic institutions. Currently Pingar and the University of Waikato in New Zealand, a recognised centre of excellence in Natural Language Processing, Machine Learning and Data Mining have undertaken research to automate the extraction of taxonomies from unstructured enterprise data. Other important research relationships include the University of Swansea in Wales and Shanghai’s East China Normal University.

About Pingar Research
The Pingar Research team consists of in-house researchers as well as world-renowned collaborators. Our background and research areas cover a wide range of expertise necessary for the intelligent handling of unstructured text data. We have ongoing projects in Natural Language Processing, Machine Learning, Information Retrieval, Semantic Web, and User Interfaces across a number of languages and verticals.

About the Pingar API
The Pingar API works seamlessly with existing enterprise content management systems and increases the power and usefulness of enterprise information. Pingar’s process is intuitive and yields more contextually relevant results and tools to extract information and transform that information into intelligence. The decision to release Pingar’s base technology as 18 core API components has resulted in significant market traction and is providing major opportunities for future growth across multiple domains. To access the API please see https://pingar.3scale.net/

About Pingar
Pingar’s mission is to transform unstructured data in the enterprise into business intelligence by developing technology that harnesses the power of text mining and natural language processing. This mission came from years of ground-breaking research at some of the most respected universities in these fields. Pingar is headquartered in New Zealand with offices in Hong Kong, India, the United Kingdom and the United States. For more information please see http://www.pingar.com

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Tamarie Johnson

Mark Lunt
Pingar
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