no code implementations • IWSLT (ACL) 2022 • Akshaya Shanbhogue, Ran Xue, Ching-Yun Chang, Sarah Campbell
This paper describes Amazon Alexa AI’s submission to the IWSLT 2022 Offline Speech Translation Task.
no code implementations • 30 May 2023 • Yaoyiran Li, Ching-Yun Chang, Stephen Rawls, Ivan Vulić, Anna Korhonen
Research on text-to-image generation (TTI) still predominantly focuses on the English language due to the lack of annotated image-caption data in other languages; in the long run, this might widen inequitable access to TTI technology.
Cross-lingual Text-to-Image Generation Crosslingual Text-to-Image Generation +6
no code implementations • Findings of the Association for Computational Linguistics 2020 • Saurabh Kulshreshtha, José Luis Redondo-García, Ching-Yun Chang
In this paper we analyse how different forms of cross-lingual supervision and various alignment methods influence the transfer capability of mBERT in zero-shot setting.
1 code implementation • COLING 2018 • Junwen Duan, Yue Zhang, Xiao Ding, Ching-Yun Chang, Ting Liu
The model uses a target-sensitive representation of the news abstract to weigh sentences in the news content, so as to select and combine the most informative sentences for market modeling.
no code implementations • EMNLP 2017 • Zhongqing Wang, Yue Zhang, Ching-Yun Chang
There has been a recent line of work automatically learning scripts from unstructured texts, by modeling narrative event chains.
no code implementations • COLING 2016 • Ching-Yun Chang, Yue Zhang, Zhiyang Teng, Zahn Bozanic, Bin Ke
Measuring the information content of news text is useful for decision makers in their investments since news information can influence the intrinsic values of companies.