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Zhaohong Wan

2 accepted papers

2023

New Datasets and Controllable Iterative Data Augmentation Method for Code-switching ASR Error Correction

EMNLP 2023long findings

With the wide use of automatic speech recognition(ASR) systems, researchers pay more attention to the ASR error correction task to improve the quality of recognition results. In particular, ASR in bilingual or multilingual settings, namely code-switching ASR, has greater challenges and research valu…

Cited by 0SourceScholar
2020

Improving Grammatical Error Correction with Data Augmentation by Editing Latent Representation

COLING 2020main

The incorporation of data augmentation method in grammatical error correction task has attracted much attention. However, existing data augmentation methods mainly apply noise to tokens, which leads to the lack of diversity of generated errors. In view of this, we propose a new data augmentation met…