<p>Hi I just tried testing this repo <a href="https://github.com/grammarly/gector" rel="nofollow noreferrer">GECToR</a> it was able to spot the grammatical errors in a sentence and identifying SVA errors were also there.</p>
<p>And building a sequence tagger model can also help you, as described in this <a href="https://arxiv.org/abs/2005.12592" rel="nofollow noreferrer">paper</a>.</p>
Machine Learning model to identify grammatical errors in a sentence?
<p>Is there any machine learning model for identifying grammatical errors in a sentence? Please note that I've already tried BERT which is a classification based model and it is useful to tell us whether a sentence has any errors or not. But what I want is that a model which could identify exactly which word in sentence violates SVA (Subject Verb Agreement) or which causes error in the sentence?</p>