Language Identification does not work anymore

[g3rfx]

context

It seems like the language identification utility does not work anymore due to some pickle compatibility issue.

steps to reproduce

In [1]: import textacy
In [2]: textacy.lang_utils.identify_lang("Hello kid")
 22%|██████████████████████████████████████████████████████████████▎                                                                                                                                                                                                                      | 9.00/40.0 [00:00<00:00, 2.35kB/s]
---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-2-9bb21112c695> in <module>
----> 1 textacy.lang_utils.identify_lang("Hello kid")

~/anaconda3/envs/gdpr/lib/python3.7/site-packages/textacy/lang_utils.py in identify_lang(self, text)
    154         text_ = utils.to_collection(text[:self.max_text_len], str, list)
    155         if self._is_valid(text_[0]):
--> 156             lang = self.pipeline.predict(text_).item()
    157             return lang
    158         else:

~/anaconda3/envs/gdpr/lib/python3.7/site-packages/textacy/lang_utils.py in pipeline(self)
     98     def pipeline(self):
     99         if not self._pipeline:
--> 100             self._pipeline = self._load_pipeline()
    101         return self._pipeline
    102

~/anaconda3/envs/gdpr/lib/python3.7/site-packages/textacy/lang_utils.py in _load_pipeline(self)
    106             self.download()
    107         with filepath.open(mode="rb") as f:
--> 108             pipeline = joblib.load(f)
    109         return pipeline
    110

~/anaconda3/envs/gdpr/lib/python3.7/site-packages/joblib/numpy_pickle.py in load(filename, mmap_mode)
    593         filename = getattr(fobj, 'name', '')
    594         with _read_fileobject(fobj, filename, mmap_mode) as fobj:
--> 595             obj = _unpickle(fobj)
    596     else:
    597         with open(filename, 'rb') as f:

~/anaconda3/envs/gdpr/lib/python3.7/site-packages/joblib/numpy_pickle.py in _unpickle(fobj, filename, mmap_mode)
    527     obj = None
    528     try:
--> 529         obj = unpickler.load()
    530         if unpickler.compat_mode:
    531             warnings.warn("The file '%s' has been generated with a "

~/anaconda3/envs/gdpr/lib/python3.7/pickle.py in load(self)
   1086                     raise EOFError
   1087                 assert isinstance(key, bytes_types)
-> 1088                 dispatch[key[0]](self)
   1089         except _Stop as stopinst:
   1090             return stopinst.value

~/anaconda3/envs/gdpr/lib/python3.7/pickle.py in load_obj(self)
   1351     def load_obj(self):
   1352         # Stack is ... markobject classobject arg1 arg2 ...
-> 1353         args = self.pop_mark()
   1354         cls = args.pop(0)
   1355         self._instantiate(cls, args)

~/anaconda3/envs/gdpr/lib/python3.7/pickle.py in pop_mark(self)
   1093     def pop_mark(self):
   1094         items = self.stack
-> 1095         self.stack = self.metastack.pop()
   1096         self.append = self.stack.append
   1097         return items

IndexError: pop from empty list

expected vs. actual behavior

The language code is not returned.

environment

In [9]: textacy.utils.get_config()
Out[9]:
{'platform': 'linux',
 'python': '3.6.10 |Anaconda, Inc.| (default, Jan  7 2020, 21:14:29) \n[GCC 7.3.0]',
 'spacy': '2.2.3',
 'spacy_models': ['de',
  'en',
  'xx',
  'el',
  'nl',
  'fr',
  'nb',
  'es',
  'it',
  'lt',
  'pt'],
 'textacy': '0.9.1'}

[g3rfx]

Okay, I manually downloaded the model from here, renamed it to v0.22 and put it into ~/anaconda3/envs/gdpr/lib/python3.6/site-packages/textacy/data/lang_identifier which solved the issue although it gave me an incompatibility warning which led me looking into this function in _langutils.py :

    def _get_model_id(self):
        fstub = "lang-identifier-v{}-sklearn-v{}"
        try:
            import pkg_resources
            filename = fstub.format(
                self._version,
                pkg_resources.get_distribution("scikit-learn").version[:4]
            )
        except ImportError:
            import sklearn
            filename = fstub.format(self._version, sklearn.__version__[:4])
        return filename

The latest version of scikit-learn is 0.22.1 for which no model is available yet. Apologies for the first wrong guess regarding the issue.

[bdewilde]

Hi @g3rfx , thanks for posting. I think your diagnosis is correct: I need to train a model using sklearn v0.22. That's probably a fine short-term fix, but I've also been hunting around for a better / less brittle language identification solution. Hopefully I'll have something soon.

[bdewilde]

Hi again, I've trained a new lang identifier using scikit-learn==0.22.0; see https://github.com/bdewilde/textacy-data/releases/tag/lang_identifier_v1.1_sklearn_v0.22. This works fine for me locally, but could you give it a shot on your machine to confirm?

[g3rfx]

Hi, thanks a lot for your very fast reaction! The new model works on my machine as well: I deleted the previous model which I had renamed due to this issue to ensure that there is no issue with downloading and using the new model. Everything looks fine 👍