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1. WO2013186216 - A METHOD, COMPUTER PROGRAM AND SYSTEM FOR INFERRING AND STRUCTURING RELATIONS BETWEEN CULTURAL SPECIFIC CONCEPTS IN TWO CULTURES

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[ EN ]

Claims

1 . A Method for inferring relations between cultural specific concepts (CSC) in two cultures at least comprising the steps of :

- extracting and listing said cultural specific concepts (CSCs) and features of said CSCs from at least a first corpus belonging to a first culture and a second corpus belonging to a second culture,

- applying an algorithm to infer relations between said CSCs in the first and the second corpus where said inference algorithm is applied to unstructured or loosely structured data sets of cultural specific concepts and features to relate the CSCs of the first and second cultures,

- applying an unsupervised algorithm for learning taxonomies in said CSCs in the first and the second corpus, and for structuring relations among said taxonomies and their features, where said unsupervised learning algorithm is applied to structure the results of the interference algorithm and wherein the result from the combined application of the said inference algorithm and the said unsupervised learning algorithm is used to construct at least one ontology.

2. The method according to claim 1 wherein a pivot language is chosen and where at least the cultural specific concepts and features in the at least first and second corpus are translated to the pivot language.

3. The method according to any of the preceding claims wherein the algorithm is an inference model, such as a Bayesian inference model.

4. The method according to any of the preceding claims wherein the algorithm is based on connectionist approach such as Artificial Neural Networks.

5. The method according to any of the preceding claims wherein the bias is on background knowledge and/or wherein the significance of a feature is reversely proportional with the occurrence of said feature and/or wherein the Bayesian algorithm is applied from the first and/or second culture's point of view.

6. The method according to any of the preceding claims wherein the significance of a feature is biased by background knowledge and/or the occurrence of said features and/or wherein the Bayesian algorithm is applied from the first and/or second culture's point of view.

7. The method according to any of the preceding claims wherein the unsupervised algorithm is a relational model.

8. The method according to any of the preceding claims further comprising the step of describing differences in meanings between a candidate corresponding pair of a CSC from the first and the second cultures.

9. The method according to any of the preceding claims further comprising the step of visualizing at least one ontology.

10. The method according to claim 8 wherein the visualized ontology is constructed by the unsupervised algorithm.

1 1 . The method according to any of the preceding claims comprising the step of identifying at least one candidate corresponding pair of a CSC from the first culture to the second culture.

12. The method according to any of the preceding claims r comprising the step of identifying at least one probability that an information receiver belonging to the second corpora successfully infers the meaning of a CSC belonging to the first corpora translated to the second corpora.

13. The method according to any of the preceding claims wherein said unsupervised learning algorithm is applied prior to or after application of the interference algorithm.

14. The method according to any of the preceding claims wherein the cultural specific concepts (CSCs) and features of the first culture are extracted from a first ontology and the cultural specific concepts (CSCs) and features of the second culture are extracted from a second ontology, preferably the ontology is a terminological ontology (TO).

15. The method according to claims 1 -14, wherein said method is a computer implemented method, and where said method is being executed by a system comprising one or more devices.

16. A computer program for executing a method for inferring relations between cultural specific concepts (CSC) in two cultures at least comprising the steps of

- extracting and/or listing said cultural specific concepts (CSCs) and features of said CSCs from at least a first corpus belonging to a first culture and a second corpus belonging to a second culture,

- applying an algorithm to infer relations between said CSCs in the first and the second corpus where said inference algorithm is applied to unstructured or loosely structured data sets of cultural specific concepts and features to align the CSCs of the first and second cultures,

- applying an unsupervised algorithm for learning taxonomies in said CSCs in the first and the second corpus, and for structuring relations among said taxonomies and their features, where said unsupervised learning algorithm is applied to structure the results and wherein the result from the combined application of the said inference algorithm and the said unsupervised learning algorithm is used to construct at least one ontology.

17. Computer program according to claim 16 comprising one or more program modules which alone or together execute one or more of the steps in the method.

18. Computer program according to claim 16 or 17 comprising locally stored and/or remotely stored program modules and/or consist at least partly of internet and/or cloud based program modules.

19. Computer program according to claim 16, 17 or 18 wherein the method for inferring relations is a method according to claim 1 - 15.

20. A system comprising one or more devices comprising a computer program and/or program modules for enabling inferring relations between CSCs from a first and a second culture.

21. System according to claim 20 wherein said devices includes, PCs, tablets and other handheld portable devices, local or remote resources.

22. System according to claim 20 or 21 wherein the computer program of the system which infers the relations between CSCs from a first and a second culture is a computer program according to the present invention.

23. System according to any of claims 20 - 22 comprising devices for obtaining information from analogue, digital, written and/or audio sources.

24. System according to any of claims 20 - 23 comprising devices for interacting with one or more users receiving, sending and/or processing information.