French Amalgam: A machine-learned sentence realization system

Martine Smets, Michael Gamon, Simon Corston-Oliver, Eric Ringger


Abstract
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.
Anthology ID:
2003.jeptalnrecital-long.23
Volume:
Actes de la 10ème conférence sur le Traitement Automatique des Langues Naturelles. Articles longs
Month:
June
Year:
2003
Address:
Batz-sur-Mer, France
Venue:
JEP/TALN/RECITAL
SIG:
Publisher:
ATALA
Note:
Pages:
245–254
Language:
URL:
https://aclanthology.org/2003.jeptalnrecital-long.23
DOI:
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/2003.jeptalnrecital-long.23.pdf