Abstract
Presents research on a number of developments in language technologies targeted at improving patent processing procedures within patent offices and in subsequent patent database search systems. Covers two aspects of patent processing: (1) OCR correction to assist the conversion of paper documents to electronic versions; and (2) text classification to assist in the allocation of new patent applications to the correct technical experts. Covers three aspects of patent searching: (1) terminology enrichment, linking keywords to IPC terms; (2) table and figure reference extraction to enable the corresponding text to be located; and (3) multilingual information access to help formulate queries in other languages for the search of documents in those languages and then to provide contextual translation of key sections of the documents retrieved. Concludes that these types of technologies will support more sophisticated search activities to complement the low-cost or free offerings on the Internet.
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