  The Second Language Acquisition field has been significantly impacted by a
greater emphasis on individualized learning and rapid developments in
artificial intelligence (AI). Although increasingly adaptive language learning
tools are being developed with the application of AI to the Computer Assisted
Language Learning field, there have been concerns regarding insufficient
information and teacher preparation. To effectively utilize these tools,
teachers need an in-depth overview on recently developed AI-based language
learning tools. Therefore, this review synthesized information on AI tools that
were developed between 2017 and 2020. A majority of these tools utilized
machine learning and natural language processing, and were used to identify
errors, provide feedback, and assess language abilities. After using these
tools, learners demonstrated gains in their language abilities and knowledge.
This review concludes by presenting pedagogical implications and emerging
themes in the future research of AI-based language learning tools.
