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from murre import normalize_sentence
normalize_sentence("mä syön paljo karkkii")
'opennmt_opts' object has no attribute 'tgt_prefix'

OpenNMT-py 1.0.0
torch 1.7.1
natas 1.0.5

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\first.last\AppData\Local\Programs\Python\Python38\lib\site-packages\murre\normalizer.py", line 47, in normalize_sentence
    res = _normalize_chunks(chunks, wnut19_model=wnut19_model)
  File "C:\Users\first.last\AppData\Local\Programs\Python\Python38\lib\site-packages\murre\normalizer.py", line 59, in _normalize_chunks
    res = call_onmt(chunks, model_name, n_best=1)
  File "C:\Users\first.last\AppData\Local\Programs\Python\Python38\lib\site-packages\natas\normalize.py", line 151, in call_onmt
    t.translate(
  File "C:\Users\first.last\AppData\Local\Programs\Python\Python38\lib\site-packages\onmt\translate\translator.py", line 351, in translate
    batch_data = self.translate_batch(
  File "C:\Users\first.last\AppData\Local\Programs\Python\Python38\lib\site-packages\onmt\translate\translator.py", line 546, in translate_batch
    return self._translate_batch_with_strategy(batch, src_vocabs,
  File "C:\Users\first.last\AppData\Local\Programs\Python\Python38\lib\site-packages\onmt\translate\translator.py", line 677, in _translate_batch_with_strategy
    decode_strategy.advance(log_probs, attn)
  File "C:\Users\first.last\AppData\Local\Programs\Python\Python38\lib\site-packages\onmt\translate\beam_search.py", line 190, in advance
    torch.div(self.topk_ids, vocab_size, out=self._batch_index)
RuntimeError: result type Float can't be cast to the desired output type Long

from murre import normalize_sentence
from murre import dialectalize_sentence

dialectalize_sentence("kodin takana on koira", "Pohjois-Savo")
normalize_sentence("mä syön paljo karkkii")

FileNotFoundError: Op type not registered 'Addons>GatherTree' in binary running on macbooks-MacBook-Pro.local. Make sure the Op and Kernel are registered in the binary running in this process. Note that if you are loading a saved graph which used ops from tf.contrib, accessing (e.g.) `tf.contrib.resampler` should be done before importing the graph, as contrib ops are lazily registered when the module is first accessed.
 You may be trying to load on a different device from the computational device. Consider setting the `experimental_io_device` option in `tf.saved_model.LoadOptions` to the io_device such as '/job:localhost'.