Neural machine translation: Challenges, progress and future

J Zhang, C Zong - Science China Technological Sciences, 2020 - Springer
Abstract Machine translation (MT) is a technique that leverages computers to translate
human languages automatically. Nowadays, neural machine translation (NMT) which …

Bilingual lexicon induction for low-resource languages using graph matching via optimal transport

K Marchisio, A Saad-Eldin, K Duh, C Priebe… - arXiv preprint arXiv …, 2022 - arxiv.org
Bilingual lexicons form a critical component of various natural language processing
applications, including unsupervised and semisupervised machine translation and …

A Structure-Aware Generative Adversarial Network for Bilingual Lexicon Induction

B Han, Q Tao, L Li, Z Xiong - Findings of the Association for …, 2023 - aclanthology.org
Bilingual lexicon induction (BLI) is the task of inducing word translations with a learned
mapping function that aligns monolingual word embedding spaces in two different …

Multi-stage framework with refinement based point set registration for unsupervised bi-lingual word alignment

SV Oprea, S Dutta, H Assem - Proceedings of the 29th …, 2022 - aclanthology.org
Cross-lingual alignment of word embeddings are important in knowledge transfer across
languages, for improving machine translation and other multi-lingual applications. Current …

Multilinguality from Static Embedding Spaces: Algorithmic, Geometric, and Data Considerations

KV Marchisio - 2023 - jscholarship.library.jhu.edu
To date, most work towards developing natural language processing (NLP) technologies
has focused on the English language. At the same time, there are an estimated 7000+ living …

MAAM: A morphology-aware alignment model for unsupervised bilingual lexicon induction

P Yang, F Luo, P Chen, T Liu, X Sun - Proceedings of the 57th …, 2019 - aclanthology.org
The task of unsupervised bilingual lexicon induction (UBLI) aims to induce word translations
from monolingual corpora in two languages. Previous work has shown that morphological …

A Joint Super-Resolution and Deformable Registration Network for 3D Brain Images

S Lan, Z Guo - 2020 25th International Conference on Pattern …, 2021 - ieeexplore.ieee.org
In this paper, we propose a joint network for 3D brain images registration with super-
resolution to reduce deformable image registration errors caused by low resolution …