The influence of task complexity on second language (L2) writing performance has been researched near-exclusively in relation to the linguistic complexity of the learners’ written products, while only limited attention has been paid to the online writing processes. In order to fill this gap, the present study focused on the effects of task demands on writing processes as reflected in keystrokes. Forty-four L1 Korean speakers were randomly assigned to either simple or complex condition, and asked to write an argumentative essay. For the simple condition, content support was provided, whereas no such additional information was provided for the complex condition. During the writing task, participants’ entire keystroke loggings were recorded, and analyzed in terms of fluency, pausing, and revision behaviors. The lexical and syntactic complexity of the written products was also analyzed and compared between the two task conditions. The results indicated that greater task demands significantly increased the number of pauses and revisions, having negative influence on fluency. Also, lexical rarity and phrasal complexity decreased under the complex condition. The results are discussed with respect to fuller understanding of the task-based approach to L2 writing.

The purpose of this paper is to investigate whether second language writings at different proficiency levels can be distinguished using automatic indices of linguistic complexity. For this study, 35 linguistic measures in 234 essays selected from the Yonsei English Learner Corpus were analyzed in order to identify the best indicators of L2 writing proficiency among the three categories: text length, lexical complexity, and syntactic complexity. The key to this study is the use of computational tools, the L2 Syntactic Complexity Analyzer and the Lexical Complexity Analyzer, which measure different linguistic features of the target language, and a robust statistical method, discriminant function analysis. Results showed that automatic computational tools indicated different uses of linguistic features across L2 writers’ proficiency levels. Specifically, more proficient writers produced longer texts, used more diverse vocabulary, and showed the ability to write more words per sentence and more complex nominalizations. These findings can offer a window to understanding the linguistic features that distinguish L2 writing proficiency levels and to the possibility of using the new computational tools for analyzing L2 learner corpus data.