Abstract: Systems and methods are disclosed for filtering data in a neural network environment to filter out inappropriate content. In some embodiments, a data signal including a sensible representation is received. The sensible representation included in the data signal is produced in a sensible format. From the sensible representation in the sensible format, a clean copy of the sensible representation can be generated such that any inappropriate content present within the received data signal is not reproduced in the clean copy. Optionally, additional filtering can occur before and/or after the generating of the clean copy. The (filtered) clean copy of the sensible representation is sent to a network. Embodiments can permit the filtering of input to and/or output from a network.

Abstract: Systems and methods are disclosed for filtering data in a neural network environment to filter out inappropriate content. In some embodiments, a data signal including a sensible representation is received. The sensible representation included in the data signal is produced in a sensible format. From the sensible representation in the sensible format, a clean copy of the sensible representation can be generated such that any inappropriate content present within the received data signal is not reproduced in the clean copy. Optionally, additional filtering can occur before and/or after the generating of the clean copy. The (filtered) clean copy of the sensible representation is sent to a network. Embodiments can permit the filtering of input to and/or output from a network.

Abstract: A network profanity interception that is installed on computer networks, such as a network mail system, for screening outgoing communication files for profane or offensive language according to a set of pre-defined criteria. Marking profane language for user identification, it places intercepted messages into users' inboxes along with explanation of undeliverable message status; flags return of intercepted messages; and provides for editing of profane language as identified so that intercepted messages can be re-sent.

Abstract: A computerized system consisting of 10 interfacing modules is disclosed capable of detecting common thinking errors known as fallacies. An operator enters sentences referencing their own beliefs, or someone else's. Utilizing analysis options through which further modules are accessed, the system scans entry data searching for substrings associated with specific fallacies. Operators are frequently asked yes or no questions to check further for these fallacies. Counters in scanning routines limit program redundancy and records each of the scanning modules to keep track of detected fallacies so that results can be summarized and evaluated. Beeping twice when fallacies are detected the system presents on a monitor screen, or other output device, the names of fallacies committed, the sentences in which they have occurred, brief explanations, suggestions for avoiding these fallacies, and, if requested, definitions of them.