Method and apparatus for translating a classification system...

Data processing: speech signal processing – linguistics – language – Linguistics – Translation machine

Reexamination Certificate

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C704S009000

Reexamination Certificate

active

07363212

ABSTRACT:
A method and apparatus are provided for translating a classification system in a source language into one or more additional target languages. The classification system employs a sample response repository to learn to classify a communication into one of a plurality of predefined categories. The sample response repository comprises a plurality of prior communications each having a classification. The present invention translates the sample response repository using a mechanical translation process to generate a translated response repository. A natural language understanding process is then applied to the translated response repository to generate a natural language understanding module that can classify a communication in the target language. The natural language understanding process can employ statistical methods or a rule-base of classification rules that determine how communications are classified. A speech recognition statistical model compilation process can optionally be applied to the translated target language response repository to generate a speech recognition module in the target language.

REFERENCES:
patent: 5490061 (1996-02-01), Tolin et al.
patent: 6910003 (2005-06-01), Arnold et al.
Carpenter et al., “Vector-Based Natural Language Call Routing,” Computational Linguistics, vol. 25, Issue 3, pp. 361-388 (1999).
Carpenter et al., “Natural Language Call Routing: A Robust, Self-Organizing Approach,” Proceedings of the Fifth International Conference on Spoken Language Processing, pp. 2059-2062 (1998).

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