This paper describes USTC-NELSLIP’s submissions to the IWSLT 2022 Offline Speech
Translation task, including speech translation of talks from English to German, English to …

This paper presents the USTC system for the IWSLT 2023 Dialectal and Low-resource shared
task, which involves translation from Tunisian Arabic to English. We aim to investigate the …

This paper describes the submissions of the research group USTC-NELSLIP to the 2023
IWSLT Offline Speech Translation competition, which involves translating spoken English into …

Multilingual neural machine translation (MNMT) models are theoretically attractive for low-
and zero-resource language pairs with the impact of cross-lingual knowledge transfer. …

In this paper, we introduce a new NLP task similar to word expansion task or word similarity
task, which can discover words sharing the same semantic components (feature sub-space) …

End-to-end paradigm has aroused more and more interests and attention for improving
speech-to-text translation (ST) recently. Existing end-to-end models mainly attributes and …

Target speaker extraction (TSE) based on direction of arrival (DOA) has a wide range of
applications in eg, remote conferencing, hearing aids, in-car speech interaction. Due to the …

Recent studies have attempted to refine the Transformer architecture to demonstrate its
effectiveness in Long-Term Time Series Forecasting (LTSF) tasks. Despite surpassing many …

1,8-Naphthalimide, as one of the classical dyes and fluorophores, has been widely used in
analytical chemistry, materials chemistry, and biochemistry fields because of its excellent …

In 2008, a new class of pillar-shaped supramolecular macrocyclic hosts was reported, known
as “pillararenes”. Their particular electron-rich cavity and the ease of their functionalization …