14thAnnual Conference of the International Speech Communication Association

Lyon, France
August 25-29, 2013

Language-Independent Call Routing Using the Large Margin Estimation Principle

Moataz El Ayadi (1), Mohamed Afify (2)

(1) Cairo University, Egypt
(2) Orange Labs Cairo, Egypt

There has been an increasing research interest in natural language call routing (NLCR) applications. One of the challenges often encountered in NLCR applications is the difficulty of performing language-dependent tasks such as morphological analysis of words and stop-word filtering. In this paper, we propose a novel NLCR system which does not depend on language-specific information and thus, it can be ported easily to many languages. The proposed system is based on a combination of character c-gram terms and discriminative training using large margin estimation principle. Compared to traditional vector-based NLCR methods, the proposed NLCR system does not need language-dependent processing and achieves around 1% increase in the classification accuracy.

Full Paper

Bibliographic reference.  Ayadi, Moataz El / Afify, Mohamed (2013): "Language-independent call routing using the large margin estimation principle", In INTERSPEECH-2013, 2708-2712.