My own Python #CotswoldWildLifeSafari

#AnalysingError: Resource universal_tagset not found.

Why does that happen?

I have following code in my Notebook/python file.

However when I executed this code on a brand new VM with just baseline Anaconda I got following errors:

---------------------------------------------------------------------------
LookupError                               Traceback (most recent call last)
<ipython-input-2-03af1289e1af> in <module>
      1 # reading the Treebank tagged sentences
----> 2 nltk_data = list(nltk.corpus.treebank.tagged_sents(tagset='universal'))

~\anaconda3\lib\site-packages\nltk\corpus\reader\util.py in __len__(self)
    387         if len(self._offsets) <= len(self._pieces):
    388             # Iterate to the end of the corpus.
--> 389             for tok in self.iterate_from(self._offsets[-1]):
    390                 pass
    391 

~\anaconda3\lib\site-packages\nltk\corpus\reader\util.py in iterate_from(self, start_tok)
    410 
    411             # Get everything we can from this piece.
--> 412             for tok in piece.iterate_from(max(0, start_tok - offset)):
    413                 yield tok
    414 

~\anaconda3\lib\site-packages\nltk\corpus\reader\util.py in iterate_from(self, start_tok)
    294             self._current_toknum = toknum
    295             self._current_blocknum = block_index
--> 296             tokens = self.read_block(self._stream)
    297             assert isinstance(tokens, (tuple, list, AbstractLazySequence)), (
    298                 "block reader %s() should return list or tuple."

~\anaconda3\lib\site-packages\nltk\corpus\reader\api.py in reader(stream)
    419     def tagged_sents(self, fileids=None, tagset=None):
    420         def reader(stream):
--> 421             return self._read_tagged_sent_block(stream, tagset)
    422 
    423         return concat(

~\anaconda3\lib\site-packages\nltk\corpus\reader\api.py in _read_tagged_sent_block(self, stream, tagset)
    470     def _read_tagged_sent_block(self, stream, tagset=None):
    471         return list(
--> 472             filter(None, [self._tag(t, tagset) for t in self._read_block(stream)])
    473         )
    474 

~\anaconda3\lib\site-packages\nltk\corpus\reader\api.py in <listcomp>(.0)
    470     def _read_tagged_sent_block(self, stream, tagset=None):
    471         return list(
--> 472             filter(None, [self._tag(t, tagset) for t in self._read_block(stream)])
    473         )
    474 

~\anaconda3\lib\site-packages\nltk\corpus\reader\bracket_parse.py in _tag(self, t, tagset)
    117         tagged_sent = [(w, p) for (p, w) in TAGWORD.findall(self._normalize(t))]
    118         if tagset and tagset != self._tagset:
--> 119             tagged_sent = [
    120                 (w, map_tag(self._tagset, tagset, p)) for (w, p) in tagged_sent
    121             ]

~\anaconda3\lib\site-packages\nltk\corpus\reader\bracket_parse.py in <listcomp>(.0)
    118         if tagset and tagset != self._tagset:
    119             tagged_sent = [
--> 120                 (w, map_tag(self._tagset, tagset, p)) for (w, p) in tagged_sent
    121             ]
    122         return tagged_sent

~\anaconda3\lib\site-packages\nltk\tag\mapping.py in map_tag(source, target, source_tag)
    134             source = "en-brown"
    135 
--> 136     return tagset_mapping(source, target)[source_tag]

~\anaconda3\lib\site-packages\nltk\tag\mapping.py in tagset_mapping(source, target)
     89     if source not in _MAPPINGS or target not in _MAPPINGS[source]:
     90         if target == "universal":
---> 91             _load_universal_map(source)
     92             # Added the new Russian National Corpus mappings because the
     93             # Russian model for nltk.pos_tag() uses it.

~\anaconda3\lib\site-packages\nltk\tag\mapping.py in _load_universal_map(fileid)
     57 
     58 def _load_universal_map(fileid):
---> 59     contents = load(join(_UNIVERSAL_DATA, fileid + ".map"), format="text")
     60 
     61     # When mapping to the Universal Tagset,

~\anaconda3\lib\site-packages\nltk\data.py in load(resource_url, format, cache, verbose, logic_parser, fstruct_reader, encoding)
    750 
    751     # Load the resource.
--> 752     opened_resource = _open(resource_url)
    753 
    754     if format == "raw":

~\anaconda3\lib\site-packages\nltk\data.py in _open(resource_url)
    875 
    876     if protocol is None or protocol.lower() == "nltk":
--> 877         return find(path_, path + [""]).open()
    878     elif protocol.lower() == "file":
    879         # urllib might not use mode='rb', so handle this one ourselves:

~\anaconda3\lib\site-packages\nltk\data.py in find(resource_name, paths)
    583     sep = "*" * 70
    584     resource_not_found = "\n%s\n%s\n%s\n" % (sep, msg, sep)
--> 585     raise LookupError(resource_not_found)
    586 
    587 

LookupError: 
**********************************************************************
  Resource universal_tagset not found.
  Please use the NLTK Downloader to obtain the resource:

Reason for the error

This happens when nltk is downloaded for the first time it does not download entire package due to the size.

Resolution

Their are couple of ways to fix this issue.

Resolution 1: Just download what you need

With the error you will also notice that python provides a resolution as well which is to execute following lines of code:

>>> nltk.download('universal_tagset')

you will notice that python will download the universal tagset and will report back to CLI with following lines:

[nltk_data] Downloading package universal_tagset to
[nltk_data]     C:\Users\Development\AppData\Roaming\nltk_data...
[nltk_data]   Unzipping taggers\universal_tagset.zip.

Resolution 2: Download everything within nltk

Or you can use following line:

nltk.download('all')"

I used this link on stacktrace to understand this issue.