Using source-channel models for word segmentation

Data processing: speech signal processing – linguistics – language – Linguistics – Multilingual or national language support

Reexamination Certificate

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C704S257000, C704S009000

Reexamination Certificate

active

07493251

ABSTRACT:
A method and apparatus for segmenting text is provided that identifies a sequence of entity types from a sequence of characters and thereby identifies a segmentation for the sequence of characters. Under the invention, the sequence of entity types is identified using probabilistic models that describe the likelihood of a sequence of entities and the likelihood of sequences of characters given particular entities. Under one aspect of the invention, organization name entities are identified from a first sequence of identified entities to form a final sequence of identified entities.

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