Search Results for author: Yihong Liu

Found 6 papers, 3 papers with code

On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss

1 code implementation26 May 2023 Yihong Liu, Alexandra Chronopoulou, Hinrich Schütze, Alexander Fraser

By conducting extensive experiments on different language pairs, including similar and distant, high and low-resource languages, we find that our method alleviates the copying problem, thus improving the translation performance on low-resource languages.

Machine Translation NMT +1

A study of conceptual language similarity: comparison and evaluation

no code implementations22 May 2023 Haotian Ye, Yihong Liu, Hinrich Schütze

An interesting line of research in natural language processing (NLP) aims to incorporate linguistic typology to bridge linguistic diversity and assist the research of low-resource languages.

Binary Classification

A Crosslingual Investigation of Conceptualization in 1335 Languages

2 code implementations15 May 2023 Yihong Liu, Haotian Ye, Leonie Weissweiler, Philipp Wicke, Renhao Pei, Robert Zangenfeind, Hinrich Schütze

The resulting measure for the conceptual similarity of two languages is complementary to standard genealogical, typological, and surface similarity measures.

Flow-Adapter Architecture for Unsupervised Machine Translation

no code implementations ACL 2022 Yihong Liu, Haris Jabbar, Hinrich Schütze

The primary novelties of our model are: (a) capturing language-specific sentence representations separately for each language using normalizing flows and (b) using a simple transformation of these latent representations for translating from one language to another.

NMT Translation +1

Reconfigurable Intelligent Surface-induced Randomness for mmWave Key Generation

no code implementations31 Oct 2021 Shubo Yang, Han Han, Yihong Liu, Weisi Guo, Zhibo Pang, Lei Zhang

In this paper, for mmWave secret key generation of physical layer security, we use a reconfigurable intelligent surface (RIS) to induce randomness directly in wireless environments, without adding complexity to transceivers.


Cannot find the paper you are looking for? You can Submit a new open access paper.