I wanted to use wordnet lemmatizer in python and I have learnt that the default pos tag is NOUN and that it does not output the correct lemma for a verb, unless the pos tag is explicitly specified as VERB.

My question is what is the best shot inorder to perform the above lemmatization accurately?

I did the pos tagging using `nltk.pos_tag` and I am lost in integrating the tree bank pos tags to wordnet compatible pos tags. Please help

```
from nltk.stem.wordnet import WordNetLemmatizer
lmtzr = WordNetLemmatizer()
tagged = nltk.pos_tag(tokens)

```

I get the output tags in NN,JJ,VB,RB. How do I change these to wordnet compatible tags?

Also do I have to train `nltk.pos_tag()` with a tagged corpus or can I use it directly on my data to evaluate?