basic regular expression chunker and chunk-getter

basic_chunking.py

def chunk_tagged_sents(tagged_sents):
    
    from nltk.chunk import regexp
    
    # define a chunk "grammar", i.e. chunking rules
    grammar = r"""
        NP: {<DT|PP\$>?<JJ>*<NN.*>+} # noun phrase
        PP: {<IN><NP>}               # prepositional phrase
        VP: {<MD>?<VB.*><NP|PP>}     # verb phrase
        CLAUSE: {<NP><VP>}           # full clause
	"""
    chunker = regexp.RegexpParser(grammar, loop=2)
    chunked_sents = [chunker.parse(tagged_sent) for tagged_sent in tagged_sents]
    
    return chunked_sents

def get_chunks(chunked_sents, chunk_type='NP'):
    
    all_chunks = []
    # chunked sentences are in the form of nested trees
    for tree in chunked_sents:
        chunks = []
        # iterate through subtrees / leaves to get individual chunks
        raw_chunks = [subtree.leaves() for subtree in tree.subtrees()
                      if subtree.node == chunk_type]
        for raw_chunk in raw_chunks:
            chunk = []
            for word_tag in raw_chunk:
            	# drop POS tags, keep words
                chunk.append(word_tag[0])
            chunks.append(' '.join(chunk))
        all_chunks.append(chunks)
    
    return all_chunks

hey i appreciate your code, in my case, i wanna write a grammar like this :

<JJ><NN><anything>
<RB><JJ><not NN nor NNS>

but i find difficult to do so, do u have any documentation would help me.