DOMAIN SPECIFIC NATURAL LANGUAGE NORMALIZATION

Patent №

US 9,424,253

Granted

2016-08-23

Filed 2015

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

3

nlp · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14812198

Embodiments of the present invention provide a method, system and computer program product for the domain specific normalization of a corpus of text. In an embodiment of the invention, a method for domain specific normalization of a corpus of text is provided, including an industrial, organization, demographic or geographic domain. The method includes loading a corpus of text in memory of a computer and determining a domain for the corpus of text. The method also includes retrieving a lexicon of replacement words for the determined domain. Finally, the method includes text simplifying the corpus of text using the retrieved lexicon. In one aspect of the embodiment, the domain is determined through inference based upon words already presence in the corpus of text. In another aspect of the embodiment, the domain is determined based upon meta-data provided with the corpus of text.

AI classification

Natural language1.00
Knowledge representation1.00
AI hardware0.94
Planning0.22
Speech0.22
Vision0.03
Machine learning0.02
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 363510449

Assignors

ALSHINNAWI, SHAREEF, CUDAK, GARY D., SUFFERN, EDWARD S., WEBER, JOHN M.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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