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Academic Paper


Title: Advancing research in second language writing through computational tools and machine learning techniques: A research agenda
Author: Scott A. Crossley
Institution: Georgia State University
Linguistic Field: Applied Linguistics; Computational Linguistics
Abstract: This paper provides an agenda for replication studies focusing on second language (L2) writing and the use of natural language processing (NLP) tools and machine learning algorithms. Specifically, it introduces a range of the available NLP tools and machine learning algorithms and demonstrates how these could be used to replicate seminal studies in L2 writing that concentrate on longitudinal writing development, predicting essay quality, examining differences between L1 and L2 writers, the effects of writing topics, and the effects of writing tasks. The paper concludes with implications for the recommended replication studies in the field of L2 writing and the advantages of using NLP tools and machine learning algorithms.

CUP AT LINGUIST

This article appears IN Language Teaching Vol. 46, Issue 2, which you can READ on Cambridge's site or on LINGUIST .



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