LAS Announces Revolutionary New NameParser; Expert Technology for Improving Database Hygiene and Search Results.Business Editors HERNDON, Va.--(BUSINESS WIRE)--April 20, 2004 Language Analysis Systems, makers of advanced multi-cultural name recognition software, today announced availability of LAS NameParser(TM), a new technology to help organizations parse ethnically diverse personal names from more than 200 countries into given names and surnames. LAS NameParser solves two major business problems: 1. Inaccurate mapping of names to database fields results in lost business. Many names have more components than the number of fields allocated for them in a database. For example, Arabic and Hispanic names might have eight tokens, difficult to fit into the typical "first, last" or "surname SURNAME. A name which is added to the christian name, and which, in modern times, have become family names. 2. They are called surnames, because originally they were written over the name in judicial writings and contracts. , given name" models within databases today. LAS NameParser improves accuracy in mapping name components to database records. 2. "Foreign" names often stump data entry personnel, leading to errors and data loss during input. Many name types are unknown to the people entering them into databases. LAS NameParser provides support for parsing See parse. parsing - parser names from more than 200 countries. Companies can improve data quality, retain customer information, and treat multiple cultures sensitively by accurately parsing and storing the customer's name within their automated systems. "If you have names, you need to parse them accurately if you ever expect to see them again," said Jack Hermansen, CEO (1) (Chief Executive Officer) The highest individual in command of an organization. Typically the president of the company, the CEO reports to the Chairman of the Board. of LAS. "It sounds straightforward, but most organizations have a real hard time with parsing and storing names from multiple cultures. For the first time, this technology is available at a reasonable price for every department-level application." LAS NameParser uses expert knowledge from LAS's study of one billion personal names to automate the analysis and parsing of a personal name into surname and given name components. A variety of linguistic and statistical information is used to enhance precision and consistency. "Mistakes during name parsing Verifying a person's first and last name. Although many companies deal with people from all over the globe, numerous data entry errors are made when a foreign name is manually entered into a database and separated into given name and surname. are extremely common," Hermansen added. "These mistakes negate ne·gate tr.v. ne·gat·ed, ne·gat·ing, ne·gates 1. To make ineffective or invalid; nullify. 2. To rule out; deny. See Synonyms at deny. 3. the investments made for applications such as customer relationship management, business intelligence, data hygiene The condition of data in a database. Clean data are error free or have very few errors. Dirty data have errors, including incorrect spelling and punctuation of names and addresses, redundant data in several records or simply erroneous data (not the correct amounts, names, etc.). , and de-duping, among others. All downstream applications are hurt by improper and inconsistent parsing. LAS NameParser can help organizations improve the results of all downstream applications." For example, a database application encounters the name "Maria del Carmen Carmen throws over lover for another. [Fr. Lit.: Carmen; Fr. Opera: Bizet, Carmen, Westerman, 189–190] See : Faithlessness Carmen the cards repeatedly spell her death. [Fr. Bustamante de la Fuente De La Fuente is a common surname in the Spanish language meaning of the Source
Input Name Parsed Name (surname, given name) ---------------------------------- ----------------------------------- Hisham Abu Ali Quereshi Noor Eldin Quereshi Noor Eldin, Hisham Abu Ali ---------------------------------- ----------------------------------- Chang Wen Ying Chang, Wen Ying ---------------------------------- ----------------------------------- Nadezhda Ivanovna Ovtsyuk Ovtsyuk, Nadezhda Ivanovna ---------------------------------- ----------------------------------- William Martin Smith-Bagby Jr. Smith-Bagby Jr., William Martin ---------------------------------- ----------------------------------- Kee Andries Van Der Merve Van Der Merve, Kee Andries ---------------------------------- ----------------------------------- NameParser can be used to enhance results within the following applications: -- Data Hygiene and Quality - Cleans current name data to enhance application performance across the enterprise -- Customer Relationship Management - Reduces recall errors by ensuring consistent name representation -- Data Integration and Warehousing - Reduces errors caused by integrating names from disparate databases -- Data Marketing - Prevents embarrassing and costly mistakes on mailings and provides for elimination of duplicate names by ensuring names are parsed consistently -- Security Applications - Provides for enhanced precision and reduced false positives for mission-critical law enforcement, screening, and intelligence applications LAS NameParser can be easily integrated into legacy systems or it can provide the basis for new applications. LAS NameParser accepts an input name in a variety of formats. It also provides customizable tables and filters to permit configuration for local requirements. Starting at just $10,000, LAS NameParser is priced to make it affordable for any organization looking to improve data quality. LAS also offers the technology to resellers and as an OEM (Original Equipment Manufacturer) The rebranding of equipment and selling it. The term initially referred to the company that made the products (the "original" manufacturer), but eventually became widely used to refer to the organization that buys the products and component through its channel programs. LAS NameParser runs on Microsoft Windows See Windows. (operating system) Microsoft Windows - Microsoft's proprietary window system and user interface software released in 1985 to run on top of MS-DOS. Widely criticised for being too slow (hence "Windoze", "Microsloth Windows") on the machines available then. (R), Solaris and Linux operating systems Operating systems can be categorized by technology, ownership, licensing, working state, usage, and by many other characteristics. In practice, many of these groupings may overlap. . A SOAP interface connects to the LAS NameParser server for fast prototyping and loosely, coupled integration. Java and C++ API (Application Programming Interface) A language and message format used by an application program to communicate with the operating system or some other control program such as a database management system (DBMS) or communications protocol. versions are also available for easy, tightly coupled See tight coupling. integration with most development environments. About Language Analysis Systems LAS has two decades of experience in making products that solve the complex problem of understanding unfamiliar names by combining computational linguistics computational linguistics (CL) Use of digital computers in linguistics research. The simplest examples are the use of computers to scan text and produce such aids as word lists, frequency counts, and concordances. with advanced software engineering. LAS software is used by Law Enforcement, U.S. Intelligence and Border Inspection agencies as well as commercial corporations. The government contracts that LAS has been awarded over the years have been "sole-source justified," meaning that no other company has the expertise needed to fulfill ful·fill also ful·fil tr.v. ful·filled, ful·fill·ing, ful·fills also ful·fils 1. To bring into actuality; effect: fulfilled their promises. 2. these advanced technology contracts. For more information, please visit www.las-inc.com. |
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