Papers with cross-language scenario
Coherent or Not? Stressing a Neural Language Model for Discourse Coherence in Multiple Languages (2023.findings-acl)
Copied to clipboard
| Challenge: | Existing work on coherence assessment using NLMs focuses on properties acquired from stand-alone sentences, but their ability to model discourse and pragmatic phenomena is still unclear. |
| Approach: | They propose to use a Neural Language Model to assess coherence in multiple languages to compare models' performance and to examine their performance in a cross-language scenario. |
| Outcome: | The proposed model can model coherent and incoherent text in multiple languages and in-domain settings. |
AudioVSR: Enhancing Video Speech Recognition with Audio Data (2024.emnlp-main)
Copied to clipboard
Xiaoda Yang, Xize Cheng, Jiaqi Duan, Hongshun Qiu, Minjie Hong, Minghui Fang, Shengpeng Ji, Jialong Zuo, Zhiqing Hong, Zhimeng Zhang, Tao Jin
| Challenge: | Recent work has shown poor performance with non-Indo-European languages . previous work primarily utilizes video information to build VSR models . |
| Approach: | They propose a generative model for data inflation that integrates synthetic data with authentic visual data to enhance the VSR model. |
| Outcome: | The proposed model improves on the audio-visual alignment problem in audio-video tasks. |