CLAug 11, 2022

Overview of CTC 2021: Chinese Text Correction for Native Speakers

arXiv:2208.05681v19 citationsh-index: 54
Originality Synthesis-oriented
AI Analysis

It addresses the problem of text correction for Chinese native speakers by providing a new benchmark, but it is incremental as it builds on existing correction tasks.

The paper presents an overview of the CTC 2021 task, which focuses on Chinese text correction for native speakers, including task definition, data descriptions, and participant approaches, with publicly available datasets to support future research.

In this paper, we present an overview of the CTC 2021, a Chinese text correction task for native speakers. We give detailed descriptions of the task definition and the data for training as well as evaluation. We also summarize the approaches investigated by the participants of this task. We hope the data sets collected and annotated for this task can facilitate and expedite future development in this research area. Therefore, the pseudo training data, gold standards validation data, and entire leaderboard is publicly available online at https://destwang.github.io/CTC2021-explorer/.

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The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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