A learner corpus is born this way: From raw data to processed dataset.

ABSTRACT: This data article presents the development of a learner corpus (i.e. a systematic computerized web-based repository of written texts produced by language learners) from the initial phase of the development where written assignments were collected from language learners as raw data to the critical phases where the processed text data and meta data were aligned and transformed to the web interface of the corpus. The corpus developed is called the CELL (Chinese and English Learner Language) Corpus, which comprises: i) text data containing 4.2 million English words and 18 million Chinese characters; and ii) meta data including the demographic information of the participants whose text data were collected. This article first outlines the steps for collecting the text data and meta data and then

SUBMITTER: Leung CHD 

PROVIDER: S-EPMC9421320 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature