NATURAL LANGUAGE PARSERS TO NORMALIZE ADDRESSES FOR GEOCODING

摘要

The present invention provides a technique for building natural language parsers by implementing a country and/or jurisdiction specific set of training data that is automatically converted during a build phase to a respective predictive model, i.e., an automated country specific natural language parser. The predictive model can be used without the training data to quantify any input address. This model may be included as part of a larger Geographic Information System (GIS) data-set or as a stand alone quantifier. The build phase may also be run on demand and the resultant predictive model kept in temporary storage for immediate use.

主权项

1. A method for normalizing an input address comprising the steps of:
receiving an input address, parsing the input address into components, classifying each component according to one or more predetermined regular expressions and a lexicon of known tokens, thereby generating classified components, and executing a predictive model to associate each classified component with a unique address field.