Martine Smets, Michael Gamon, Simon Corston-Oliver, and Eric Ringger
June 2003
This paper presents the French implementation of Amalgam, a machine-learned sentence realization system. It presents in some detail two of the machine-learned models employed in Amalgam and shows how linguistic intuition and knowledge can be combined with statistical techniques to improve the performance of the models.
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Publisher Association pour le Traitement Automatique des Langues
Copyright © 2003 Association pour le Traitement Automatique des Langues
| Type | Inproceedings |
| URL | http://www.atala.org/ |