Annotating ESL Errors: Challenges and Rewards
Annotating ESL Errors: Challenges and Rewards
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发表时间：
2010-06
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通讯作者：
Alla Rozovskaya;D. Roth
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作者：
Alla Rozovskaya;D. Roth
在这篇论文中，我们提出了一个由非英语为母语的人写的文章的纠正和错误标记的语料库。该语料库包含63000个单词，包括九个第一语言背景的英语学习者的数据。注释是在句子层面进行的，包括纠正句子中的所有错误。错误分类包括介词和冠词用法错误、语法错误、词序错误和选词错误。我们展示了按错误类别和第一语言背景对标注语料库中的错误进行的分析，以及对任务的注释者之间的协议。我们还描述了一个计算机程序，该程序是为了促进和标准化任务的注释过程而开发的。该程序允许对各种类型的错误进行注释，并用于对语料库的注释。
In this paper, we present a corrected and error-tagged corpus of essays written by non-native speakers of English. The corpus contains 63000 words and includes data by learners of English of nine first language backgrounds. The annotation was performed at the sentence level and involved correcting all errors in the sentence. Error classification includes mistakes in preposition and article usage, errors in grammar, word order, and word choice. We show an analysis of errors in the annotated corpus by error categories and first language backgrounds, as well as inter-annotator agreement on the task. We also describe a computer program that was developed to facilitate and standardize the annotation procedure for the task. The program allows for the annotation of various types of mistakes and was used in the annotation of the corpus.