Abstract: This invention provides hierarchical, gradual and iterative methods, systems, and software for improving and correcting natural language text. The methods comprise the steps of applying natural language processing (NLP) algorithms to a corpus of sentences so as to abstract each sentence; applying scoring and linguistic annotation to each abstract sentence; applying NLP algorithms to abstract input sentences; applying search algorithms to match an abstract input sentence to at least one abstract corpus sentence; and applying NLP algorithms to adapt said matched abstract corpus sentence to the input sentence.

Abstract: A system, computer program product and method for categorizing, storing, accessing, returning, displaying and analyzing corporate regulatory-related data is disclosed. Embodiments may include accessing corporate regulatory-related data from one or more storage mediums having plurality of corporate regulatory-related data, HTML tags and/or source documents. Also embodiments may include returning corporate regulatory-related data that may be responsive to a search query. Moreover, embodiments may access a captured portion of a source document containing the corporate regulatory-related data in response to the user selecting a corporate regulatory-related data.