This paper describes a writing assistance system that helps students improve their academic writing by incorporating vocabulary that is more typical in the academic setting. Given an input text, the system suggests word substitutions according to an academic word list, and ranks them with a masked language model. Experimental results show that lexical formality analysis can improve the quality of the suggestions, in comparison to a baseline that relies on the masked language model only. Further, a user study demonstrate that students were able to use the system to improve text quality.
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