Unsupervised multimodal machine translation for low-resource distant language pairs
Unsupervised machine translation (UMT) has recently attracted more attention from
researchers, enabling models to translate when languages lack parallel corpora. However …
researchers, enabling models to translate when languages lack parallel corpora. However …
Bridging the gap between synthetic and authentic images for multimodal machine translation
Multimodal machine translation (MMT) simultaneously takes the source sentence and a
relevant image as input for translation. Since there is no paired image available for the input …
relevant image as input for translation. Since there is no paired image available for the input …
Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations
Unsupervised neural machine translation has recently made remarkable strides, achieving
impressive results with the exclusive use of monolingual corpora. Nonetheless, these …
impressive results with the exclusive use of monolingual corpora. Nonetheless, these …
A Survey on Multi-modal Machine Translation: Tasks, Methods and Challenges
In recent years, multi-modal machine translation has attracted significant interest in both
academia and industry due to its superior performance. It takes both textual and visual …
academia and industry due to its superior performance. It takes both textual and visual …
[PDF][PDF] Improving Zero-Shot Dependency Parsing by Unsupervised Learning
J Mao, C Ding, H Kaing, H Tanaka… - Proceedings of the …, 2023 - aclanthology.org
Abstract UDify (Kondratyuk and Straka, 2019) is a multilingual and multi-task parser fine-
tuned on mBERT. It has demonstrated notable performance, even on few-shot languages …
tuned on mBERT. It has demonstrated notable performance, even on few-shot languages …