Breaking the representation bottleneck of Chinese characters: Neural machine translation with stroke sequence modeling
Existing research generally treats Chinese character as a minimum unit for representation.
However, such Chinese character representation will suffer two bottlenecks: 1) Learning …
However, such Chinese character representation will suffer two bottlenecks: 1) Learning …
Domain adaptation for neural machine translation
D Saunders - 2021 - repository.cam.ac.uk
The development of deep learning techniques has allowed Neural Machine Translation
(NMT) models to become extremely powerful, given sufficient training data and training time …
(NMT) models to become extremely powerful, given sufficient training data and training time …
ICT's system for AutoSimTrans 2021: Robust char-level simultaneous translation
S Zhang, Y Feng - Proceedings of the Second Workshop on …, 2021 - aclanthology.org
Simultaneous translation (ST) outputs the translation simultaneously while reading the input
sentence, which is an important component of simultaneous interpretation. In this paper, we …
sentence, which is an important component of simultaneous interpretation. In this paper, we …
Neural Machine Translation for Low-Resource Languages from a Chinese-centric Perspective: A Survey
J Zhang, K Su, H Li, J Mao, Y Tian, F Wen… - ACM Transactions on …, 2024 - dl.acm.org
Machine translation—the automatic transformation of one natural language (source
language) into another (target language) through computational means—occupies a central …
language) into another (target language) through computational means—occupies a central …
[PDF][PDF] Manipulating Data Representations for Neural Machine Translation
C Amrhein - 2023 - zora.uzh.ch
In natural language processing, much current research focuses on training larger and larger
models on more and more data. In this thesis, we argue that how data is represented can …
models on more and more data. In this thesis, we argue that how data is represented can …
[HTML][HTML] 基于语言知识的神经机器翻译研究进展
张津一， 郭聪， 高忠辉 - Artificial Intelligence and Robotics Research, 2023 - hanspub.org
在本论文中, 我们全面回顾了基于语言知识的神经机器翻译(Neural Machine Translation, NMT)
方法, 重点关注了如何将语言学特征和知识融入NMT 系统中. 首先, 我们介绍了神经机器翻译的 …
方法, 重点关注了如何将语言学特征和知识融入NMT 系统中. 首先, 我们介绍了神经机器翻译的 …