2023
ACL
ACL 2023
PlayGround Low Resource Machine Translation System for the 2023 AmericasNLP Shared Task
Abstract
AbstractThis paper presents PlayGround’s submission to the AmericasNLP 2023 shared task on machine translation (MT) into indigenous languages. We finetuned NLLB-600M, a multilingual MT model pre-trained on Flores-200, on 10 low-resource language directions and examined the effectiveness of weight averaging and back translation. Our experiments showed that weight averaging, on average, led to a 0.0169 improvement in the ChrF++ score. Additionally, we found that back translation resulted in a 0.008 improvement in the ChrF++ score.
🌉
Interdisciplinary Bridge
— Machine Learning and Natural Language Processing
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Vision, Data Science & Analytics, Deep Learning, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Speech & Audio
Authors
Topics
Machine Learning > Application Areas > Data Augmentation
Natural Language Processing > Applications > Machine Translation
Machine Learning > Learning Types > Transfer Learning
Natural Language Processing > Generation > Machine Translation
Deep Learning > Learning Types > Deep Learning
Deep Learning > Learning Types > Transfer Learning