@inproceedings{crook2015multi-language,
author = {Crook, Paul A. and Martin, Jean-Philippe and Sarikaya, Ruhi},
title = {Multi-Language Hypotheses Ranking And Domain Tracking for Open Domain},
booktitle = {Proceedings of the 16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015)},
year = {2015},
month = {September},
abstract = {Hypothesis ranking (HR) is an approach for improving the accuracy of both domain detection and tracking in multi-domain, multi-turn dialogue systems. This paper presents the results of applying a universal HR model to multiple dialogue systems, each of which are using a different language. It demonstrates that as the set of input features used by HR models are largely language independent a single, universal HR model can be used in place of language specific HR models with only a small loss in accuracy (average absolute gain of +3:55% versus +4:54%), and also such a model can generalise well to new unseen languages, especially related languages (achieving an average absolute gain of +2:8% in domain accuracy on held out locales fr-fr, es-es, it-it; an average of 66% of the gain that could be achieve by training language specific HR models). That the latter is achieved without retraining significantly eases expansion of existing dialogue systems to new locales/languages.},
publisher = {ISCA - International Speech Communication Association},
url = {http://approjects.co.za/?big=en-us/research/publication/multi-language-hypotheses-ranking-and-domain-tracking-for-open-domain/},
edition = {Proceedings of the 16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015)},
}