predict.py to work with .conllu files NOT annotated for dependencies?

[hyperparticle]

predict.py to work with .conllu files NOT annotated for dependencies?

[lmompela]

Nevermind, found a way around! Thanks

[andidyer]

Nevermind, found a way around! Thanks

I suppose this is a while ago, but do you remember what your solution was? I am also trying to parse a file without annotated dependencies and facing this issue.

Maybe the solution is just to fill each head field with the index of the token minus 1? This is what I did and it worked. The format looked a bit like this:

# sent_id = 1
# text = "This is a sentence"
1    This    _    _    _    _    0    _    _    _
2    is    _    _    _    _    1    _    _    _
3    a    _    _    _    _    2    _    _    _
4    sentence    _    _    _    _    3    _    _    _

# sent_id = 2
# text = "This is another sentence"
1    This    _    _    _    _    0    _    _    _
2    is    _    _    _    _    1    _    _    _
3    another    _    _    _    _    2    _    _    _
4    sentence    _    _    _    _    3    _    _    _