Abstract
Developments in the computational analysis of Dzongkha have been limited due to the syntactic complexity of the language. Though the natural language processing domains have witnessed rapid developments over the past decade; very few works has been done in Dzongkha despite of being the national language of Bhutan. In this paper, we have investigated the major problems in Dzongkha processing and have proposed a semantic parsing approach for effective processing of this language. We have used a probabilistic approach and have used the linguistic rules in Dzongkha to remove the ambiguities. Semantic representations along with belief net concepts have been used to increase the accuracy of segmentation, syntactic and semantic analyses. The proposed frame work has been able to solve the major issues related to Dzongkha processing, however needs to be further improved to include all the syntactic variations.
Original language | English |
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Pages (from-to) | 161-165 |
Number of pages | 5 |
Journal | International Journal of Speech Technology |
Volume | 17 |
Issue number | 2 |
DOIs | |
State | Published - 1 Jan 2014 |
Externally published | Yes |
Keywords
- NLP
- Semantic parsing
- Syntactic analyses
ASJC Scopus subject areas
- Software
- Language and Linguistics
- Human-Computer Interaction
- Linguistics and Language
- Computer Vision and Pattern Recognition