Abstract
Parallel wordnets built upon correspondences between different languages can play a crucial role in multilingual knowledge processing. Since there is no homomorphism between pairs of monolingual wordnets, we must rely on lexical semantic relation (LSR) mappings to ensure conceptual cohesion. In this paper, we propose and implement a model for bootstrapping parallel wordnets based on one monolingual wordnet and a set of cross-lingual lexical semantic relations. In particular, we propose a set of inference rules to predict Chinese wordnet structure based on English wordnet and English-Chinese translation relations. We show that this model of parallel wordnet building is effective and achieves higher precision in LSR prediction.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Fifth Workshop on Asian Language Resources (ALR-05) and First Symposium on Asian Language Resources Network (ALRN) |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 48-55 |
| Number of pages | 8 |
| Publication status | Published - 2005 |
| Externally published | Yes |
| Event | 5th Workshop on Asian Language Resources, ALR 2005 and 1st Symposium on Asian Language Resources Network, ALRN 2005 - Jeju Island, Korea, Republic of Duration: 14 Oct 2005 → … |
Conference
| Conference | 5th Workshop on Asian Language Resources, ALR 2005 and 1st Symposium on Asian Language Resources Network, ALRN 2005 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju Island |
| Period | 14/10/05 → … |
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Signal Processing
- Linguistics and Language