Method for Automatically Detecting Meaning and Measuring the Univocality of Text

摘要

The invention relates to a method for automatically detecting meaning patterns in a text using a plurality of input words, in particular a text with at least one sentence, comprising a database system containing words of a language, a plurality of defined categories of meaning in order to describe the properties of the words, and meaning signals for all the words stored in the database, wherein a meaning signal is a clear numerical characterization of the meaning of the words using the categories of meaning.

主权项

1. A method for automatically detecting meaning-patterns in a text using a plurality of input words comprising a database system containing words of a language, a plurality of pre-defined categories of meaning in order to describe the properties of the words, and meaning-signals for all the words stored in the database, wherein a meaning-signal is an univocal numerical characterization of the meaning of the words using the categories of meaning, and wherein at least the following steps are carried out:
a) reading of the text with input words into a device for data entry, linked to a device for data processing, b) comparison of all input words with the words in the database system that is connected directly and/or via remote data line to the system for data processing, c) assignment of at least one meaning-signal to each of the input words, wherein in the case of homonyms two or more meaning-signals are assigned; d) in the event that the assignment of the meaning-signals to the input words is univocal, the meaning-pattern identification is complete, e) in the event that more than one meaning-signal could be assigned to an input word, the relevant meaning-signals are compared with one another in an exclusively context-controlled manner, wherein f) on the basis of the combination of the meaning-signals of the input words among one another, it is determined whether a contradiction or a match is present in the meaning of the input word with respect to the context; g) meaning-signal combinations that lead to contradictions are rejected, meaning-signal combinations for matches are automatically numerically evaluated in accordance with the degree of matching of their meaning-signals based on a pre-defined matching criterion and recorded, h) automatic compilation of all input words resulting from the steps d) and g) are output as the meaning-pattern of the text.