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@inproceedings{Hanyue_Du_CIKM23,
author = {Du, Hanyue and Zhao, Yike and Tian, Qingyuan and Wang, Jiani and Wang, Lei and Lan, Yunshi and Lu, Xuesong},
title = {FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-Grained Linguistic Annotation},
year = {2023},
isbn = {9798400701245},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3583780.3615119},
doi = {10.1145/3583780.3615119},
booktitle = {Proceedings of the 32nd ACM International Conference on Information and Knowledge Management},
pages = {5321–5325},
numpages = {5},
keywords = {Chinese grammatical error correction, deep learning, fine-grained linguistic annotation},
location = {Birmingham, United Kingdom},
series = {CIKM '23}
}中文语法错误纠正 (CGEC) 旨在检测和纠正句子中的所有语法错误，已受到越来越多的研究人员的关注。尽管目前已经开发了多个 CGEC 数据集来支持研究，但这些数据集仍缺乏提供语法错误的深层语言拓扑的能力。为解决这个限制，本仓库提供了一个新的 CGEC 数据集：FlaCGEC，它具有细粒度的语言注释，包含 78 个实例化语法点和 3 种编辑类型， 数据的整体统计如下表所示。
| Properties | Train | Dev | Test |
|---|---|---|---|
| Sentences | 10804 | 1334 | 1325 |
| Average source sentence length | 35.09 | 34.76 | 35.83 |
| Average target sentence length | 35.59 | 35.29 | 36.34 |
| Edits per sentence | 1.72 | 1.69 | 1.71 |
| Grammar points | 77 | 69 | 72 |
数据集下载地址见本仓库data文件夹：https://github.com/hyDududu/FlaCGEC/tree/main/data
FlaCGEC数据集以 JSON 文件形式进行存储，具体数据结构如下所示：
下表中展示了 FlaCGEC 数据集的一些示例，一个句子可能存在多个错误，并且错误涉及句子的不同组成部分。
|
[S] 节日期间，每饭店纷纷推出特色餐饮特惠措施，吸引市民走进饭店. Translation: During the festival, per hotel introduces special cuisines promotion activities, attracting citizens to walk in. [T] 节日期间，各饭店纷纷推出特色餐饮和特惠措施，吸引市民走进饭店。 Translation: During the festival, every hotel introduces special cuisines and promotion activities, attracting citizens to walk in. [A] 5 5|||S-Demonstrative pronouns指示代词|||各；16 16|||M-Prepositions for objects介词引出对象|||和 |
|
[S] 睡觉时，身体感觉到，人就容易梦到什么内容。 Translation: During sleeping, people easily dream the bodies feel. [T] 睡觉时，身体感觉到什么，人就容易梦到什么内容。 Translation: During sleeping, people easily dream what the bodies feel. [A] 9 9|||M-Non-interrogative use of interrogative pronouns疑问词的非疑问用法|||什么 |
|
[S] 他听很不服气地说：“我尽力而为了已经！” Translation: He listens and said disgruntledly: “I already have tried !” [T] 他听了很不服气地说：“我已经尽力而为了！” Translation: He listened and said disgruntledly: “I have already tried !” [A] 2 2|||M-Aspect particle动态助词|||了；16 17|||W-Adverbs of time时间副词|||None |
|
[S] 但有没受到老板的责备，而且他心里很失落。 Translation: But did he receive the blame from his boss, and he is upset. [T] 虽然没有受到老板的责备，但是他心里很失落。 Translation: Even though he did not receive the blame from his boss, he is upset. [A] 0 0\|\|\|S-Conjunctions for connecting clauses介词连接分句|||虽然；2 2|||W-Negative adverb否定副词|||没；11 12|||W-Conjunctions for connecting clauses介词连接分句|||但是 |
下表列出了部分实例化语法点、和它们相应的示例。
| Grammar Points | Instantiations | Examples |
| Adverbs of degree[程度副词] | 很 | 有的人很从容。 |
| 有点儿 | 左边这瓶有点儿酸。 | |
| Conjunctions for connecting clauses[介词连接分句] | 如果 | 如果没有标记，散落的片断将… |
| 因此 | 因此，人们以乌龟指长寿。 | |
| 总之 | 总之，电视带给我们知识和娱乐。 | |
| Modal verbs[能愿动词] | 需要 | 这项工程至少需要10年时间才能完工。 |
| 得 | 妈妈生病了，我得马上回国去看她。 | |
| Passive sentences[被动句] | 被 | 自行车被当做一种交通工具。 |
| 被…所 | 快乐的人不会被痛苦所左右。 | |
| Successive complex sentences[承接复句] | 于是 | 唐太宗很生气，于是召集群臣，当面训斥魏征。 |
| 便 | 司马光受父亲影响，自幼便聪明好学。 |