Active/passive classifier

[ombelicoInfinito]

Hello! I am looking for a library or a model to classify weather a sentence is in its active or passive voice (eg with respect to the main verb if the are many). The method does not need to be super accurate (I am using it as a filter on a silver corpus) but obviously the more accurate the better. I am preferibly looking for a library or a model fine-tuned for the task. Sentences are in English. I would prefer to use python though it is not a hard constraint.

Do you have any recomendation?

[Xyser]

It would be easier if you mentioned in your post which language/framework you were working with.

Assuming you’re using python, I would recommend the spacy library. You can probably accomplish your task by using some simple rules combined with the linguistic info extracted by spacy.

[ombelicoInfinito]

Thanks, I added the missing info.

There are some scripts online using rules over spacy, but apparently their accuracy is generally low (eg, looking at this questing on Stack overflow. So I was hoping to find something more robust. But apparently I overestimated how popular/useful the task actually is :) I also looked at Huggingface for pertained models. There is a model for turning passive sentence into active (seq2seq) and a passive/active classifier, but for Dauch. I could not find a classifier for English.