Change of lambo.py name to lambo_tokenizer.py

combo/predict.py

@@ -12,7 +12,7 @@ from overrides import overrides
 
 from combo import data
 from combo.data import sentence2conllu, tokens2conllu, conllu2sentence
-from combo.utils import download, graph, lambo
+from combo.utils import download, graph, lambo_tokenizer
 
 logger = logging.getLogger(__name__)
 
@@ -59,7 +59,7 @@ class COMBO(predictor.Predictor):
 
     def predict(self, sentence: Union[str, List[str], List[List[str]], List[data.Sentence]]):
         if isinstance(sentence, str):
-            if isinstance(self._tokenizer,lambo.LamboTokenizer):
+            if isinstance(self._tokenizer,lambo_tokenizer.LamboTokenizer):
                 segmented = self._tokenizer.segment(sentence)
                 return self.predict(segmented)
             else:
@@ -239,7 +239,7 @@ class COMBO(predictor.Predictor):
     @classmethod
     def with_lambo_tokenizer(cls, model: models.Model,
                              dataset_reader: allen_data.DatasetReader, lambo_model_name : str = 'en'):
-        return cls(model, dataset_reader, lambo.LamboTokenizer(lambo_model_name))
+        return cls(model, dataset_reader, lambo_tokenizer.LamboTokenizer(lambo_model_name))
 
     @classmethod
     def from_pretrained(cls, path: str, tokenizer=tokenizers.SpacyTokenizer(),

docs/prediction.md

@@ -34,10 +34,10 @@ You can use COMBO with the [LAMBO](https://gitlab.clarin-pl.eu/syntactic-tools/l
 ```python
 # Import COMBO and lambo
 from combo.predict import COMBO
-from combo.utils import lambo
+from combo.utils import lambo_tokenizer
 
 # Download models
-nlp = COMBO.from_pretrained("english-bert-base-ud29",tokenizer=lambo.LamboTokenizer("en"))
+nlp = COMBO.from_pretrained("english-bert-base-ud29",tokenizer=lambo_tokenizer.LamboTokenizer("en"))
 sentences = nlp("This is the first sentence. This is the second sentence to parse.")
 ```