The application of the "back-propagation" learning algorithm to the task of determining the right set of features corresponding to the words in an input sentence is described. Features that are specific to particular nouns and verbs, that indicate whether a nominal constituent is singular or plural, definite or indefinite, and that…

A computer-based artificial neural network (ANN) that learns to classify sentences in a text as important or unimportant is described. The program is designed to select the sentences that are important enough to be included in composition of an abstract of the text. The ANN is embedded in a conventional symbolic environment consisting of…

The encoding of Swedish syntactic information in a study of linguistic data processing is described in detail. The choice of syntactic variables and classification criteria, illustrated with examples, is also discussed. In addition, uses of the coding for contrasting languages, as in this study's comparison of Swedish, Finnish, and English word…