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:
- Cite (ACL):
- Martine Smets, Michael Gamon, Simon Corston-Oliver, and Eric Ringger. 2003. French Amalgam: A machine-learned sentence realization system. In Actes de la 10ème conférence sur le Traitement Automatique des Langues Naturelles. Articles longs, pages 245–254, Batz-sur-Mer, France. ATALA.
- Cite (Informal):
- French Amalgam: A machine-learned sentence realization system (Smets et al., JEP/TALN/RECITAL 2003)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/2003.jeptalnrecital-long.23.pdf