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US 2011/0258229 A1Published application
Mining Multilingual Topics
AssigneeMicrosoft Corporation
InventorsXiaochuan Ni, Jian-Tao Sun, Zheng Chen, Jian Hu
Life of this patent
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Abstract
Techniques for utilizing data mining technology to extract universal topics with multilingual representations from a multilingual database, and to organize existing or new documents in different languages by analyzing their respective topic distributions.
Claims20
A method comprising:
- identifying multiple concept-units from a multi-language document corpus, a particular concept-unit including a set of documents in different languages describing a particular concept;
- modeling the concept-units of the multi-language document corpus to create a generative model, wherein the generative model represents at least:
- (a) a plurality of universal topics, each of the universal topics being defined by a plurality of topic word distributions corresponding respectively to the different languages;
- (b) a topic distribution for each concept-unit, wherein the documents of any single concept-unit are constrained within the generative model to share a common topic distribution;
- inferring the plurality of universal topics from the documents of the concept-units based on the generative model.
2 more elements
A method comprising:
- identifying multiple concept-units from a multi-language document corpus, a particular concept-unit including a set of documents in different languages describing a particular concept;
- and
- inferring a plurality of universal topics from the multiple concept-units, each of the universal topics being defined by a plurality of topic word distributions corresponding respectively to the different languages.
A method comprising:
- identifying multiple concept-units from a multi-language document corpus, a particular concept-unit including a set of documents in different languages describing a particular concept;
- and
- deriving a universal topic space from the concept-units;
- and
- analyzing new documents of different languages to place them within the universal topic space.
2 more elements
Dependencies are inferred from the claim text.