Eye movement recordings from reading are one of the richest signals of human language processing. Corpora of eye movements during reading of contextualized running text is a way of making such records available for natural language processing purposes. Such corpora already exist in some languages. We present CopCo, the Copenhagen Corpus of eye tracking recordings from natural reading of Danish texts. It is the first eye tracking corpus of its kind for the Danish language. CopCo includes 1,832 sentences with 34,897 tokens of Danish text extracted from a collection of speech manuscripts. This first release of the corpus contains eye tracking data from 22 participants. It will be extended continuously with more participants and texts from other genres. We assess the data quality of the recorded eye movements and find that the extracted features are in line with related research. The dataset available here: https://osf.io/ud8s5/.

通过人们阅读时的眼动记录生成的语料库是自然语言处理的一种方式。我们介绍了 CopCo，这是丹麦语阅读的第一个眼动录音语料库，包括1,832个句子，34,897个单词，从演讲手稿中提取出的丹麦文本。该语料库的第一次发布包含来自22位参与者的眼动数据，通过数据质量评估发现所提取的特征与相关研究一致。

丹麦自然阅读眼动仪记录的哥本哈根语料库