Home
Information

AI Dataset Collection

Large-scale datasets and benchmarks for training, evaluating, and testing models to measure

Tools

Intelligent Document Recognition

Comprehensive Text Extraction and Document Processing Solutions for Users

AI Tutorial

Lightweight-Low-Resource-NMT

Public

Official code for "Too Brittle To Touch: Comparing the Stability of Quantization and Distillation Towards Developing Lightweight Low-Resource MT Models" to appear in WMT 2022.

Creat2022-11-03T17:15:14
Update2024-10-07T20:55:21
https://aclanthology.org/2022.wmt-1.80/
17
Stars
0
Stars Increase

Related projects