Asian Language Treebank
Related Papers
A Multilingual Parallel Corpus for Improving Machine Translation on Southeast Asian Languages
Current machine translation systems require large bilingual corpora for training data. With large bilingual corpora, phrase-based and neural-based methods can achieve state-of-the-art performance. Nevertheless, such large bilingual corpora are unavailable …...
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models
AbstractIn neural machine translation (NMT), sequence distillation (SD) through creation of distilled corpora leads to efficient (compact and fast) models. However, its effectiveness in extremely low-resource (ELR) settings has not …...
Investigating Softmax Tempering for Training Neural Machine Translation Models
AbstractNeural machine translation (NMT) models are typically trained using a softmax cross-entropy loss where the softmax distribution is compared against the gold labels. In low-resource scenarios and NMT models tend …...
Leveraging Highly Accurate Word Alignment for Low Resource Translation by Pretrained Multilingual Model
AbstractRecently, there has been a growing interest in pretraining models in the field of natural language processing. As opposed to training models from scratch, pretrained models have been shown to …...