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There are several answers that I would like to give:
Short answer: no, it doesn't.
Slightly philosophical: Glossing is a way to present language material, so for each Linguist's utterance there is a corresponding goal that should be emphasized by language example. Since there is infinite number of goals, I'm afraid there will be never the only right way to gloss an example.
Technical: In order to make R to be little bit an SIL FieldWorks, we need to create a morphological parser for each particular language. I'm dreaming to have such a stuff in R, but I'm afraid we will need a lot of work and collaboration to do. For now the best that we have is UD Corpora and udpipe package that runs little bit outdated UD models in R.
Maybe my question is stupid. I hope we can make it at least with support from deep learning or traditional machine learning algorithm.
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