Syntactic Transfer for Low-Resource Machine Translation with Contextual Parameter Generation
The advent of large pretrained models has led to paradigm-shifting improvements throughout natural language processing. For many tasks, state-of-the-art results are now achieved by taking one of these large pretrained models and adapting it in some way for use on the desired task. While this approac...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2022
|
| Online Access: | https://hdl.handle.net/1721.1/145034 |