Abstract
In this paper we present a proposal to help bypass the bottleneck of knowledge-based systems working under the assumption that the knowledge sources are complete. We show how to create, on the fly, new lexicon entries using lexico-semantic rules and how to create new concepts for unknown words, investigating a new linguistically-motivated model to trigger concepts in context.- Anthology ID:
- 1999.mtsummit-1.53
- Volume:
- Proceedings of Machine Translation Summit VII
- Month:
- September 13-17
- Year:
- 1999
- Address:
- Singapore, Singapore
- Venue:
- MTSummit
- SIG:
- Publisher:
- Note:
- Pages:
- 366–374
- Language:
- URL:
- https://aclanthology.org/1999.mtsummit-1.53
- DOI:
- Cite (ACL):
- Evelyne Viegas. 1999. Developing knowledge bases for MT with linguistically motivated quality-based learning. In Proceedings of Machine Translation Summit VII, pages 366–374, Singapore, Singapore.
- Cite (Informal):
- Developing knowledge bases for MT with linguistically motivated quality-based learning (Viegas, MTSummit 1999)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/1999.mtsummit-1.53.pdf