Abstract
This paper describes an implemented algorithm for syntactic realization of a target-language sentence from an interlingual representation called Lexical Conceptual Structure (LCS). We provide a mapping between LCS thematic roles and Abstract Meaning Representation (AMR) relations; these relations serve as input to an off-the-shelf generator (Nitrogen). There are two contributions of this work: (1) the development of a thematic hierarchy that provides ordering information for realization of arguments in their surface positions; (2) the provision of a diagnostic tool for detecting inconsistencies in an existing online LCS-based lexicon that allows us to enhance principles for thematic-role assignment.- Anthology ID:
- 1998.amta-papers.29
- Volume:
- Proceedings of the Third Conference of the Association for Machine Translation in the Americas: Technical Papers
- Month:
- October 28-31
- Year:
- 1998
- Address:
- Langhorne, PA, USA
- Venue:
- AMTA
- SIG:
- Publisher:
- Springer
- Note:
- Pages:
- 333–343
- Language:
- URL:
- https://link.springer.com/chapter/10.1007/3-540-49478-2_30
- DOI:
- Cite (ACL):
- Bonnie Dorr, Nizar Habash, and David Traum. 1998. A thematic hierarchy for efficient generation from lexical-conceptual structure. In Proceedings of the Third Conference of the Association for Machine Translation in the Americas: Technical Papers, pages 333–343, Langhorne, PA, USA. Springer.
- Cite (Informal):
- A thematic hierarchy for efficient generation from lexical-conceptual structure (Dorr et al., AMTA 1998)
- PDF:
- https://link.springer.com/chapter/10.1007/3-540-49478-2_30