SentiMap - Sentence Handling Toolkit : exploit English sentences in your business applications

Sentence Analyzer - enabling business and enterprise applications to handle sentences and text

A listing of usages (the first list is somewhat research oriented but could be more interesting).

Changing the paradigm of word-tokenized search engines to sentence-pattern based search engines. Another flavor of search, could be more contextual.
Latent Semantics Indexing (LSI) is a patented technology. I hesitate to say this, but possibly this will work better at content aggregation for media companies.
With some work, declarative or imperative sentences could be changed to inquisitive mode. Makes semi-human conversation possible ?
Comparing two nearly identical documents, side by side, pointing out similarities and differences. Adding to the meta-data store.
And how about discovering hyperlinking possibilities between two documents ?
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And some product enhancements.

Enterprise document management : Current products focus rarely consider the "content" inside the document. And yet document types, metadata are available to them. Adding content capabilities would make such products very powerful. It is anyway a feature that users of such systems soon be asking for.
A browser plug-in : A local set of "preferred" sentences is all that is needed to analyze each web page viewed, group them etc. Personalized hyperlink library automatically managed, not a dumb list of bookmarks.
A search engine : Pre-customized business-critical searches, in official tender documents, say.
Web information extraction engine : View the text2data.net downloadable demo, as well the high extraction efficiency page.
Any free text section in a biz app : Could validate the user entered sentences, or extract meaning and data from it.
Personalized anti-spammers for emails and feeds
Voice-to-text machines could benefit from analyzing sentences and get used in business apps
Micro-blogging, according to Gartner, seems a trend. So all that mass of text sentences could be read.
News/media content automation. Probably would work as well as LSI technology, which is patented anyway.
Advertising and marketing demographics, and directed ad-content engines
E-learning flexibility, handling free-text quizzes and answers
See a wilder and longer list of usages here.