# -*- coding: utf-8 -*- # Natural Language Toolkit: Interface to the HunPos POS-tagger # # Copyright (C) 2001-2012 NLTK Project # Author: Peter Ljunglöf # David Nemeskey (modifications) # Attila Zseder (modifications) # URL: # For license information, see LICENSE.TXT """ A module for interfacing with the HunPos open-source POS-tagger. """ import os from subprocess import Popen, PIPE from nltk.internals import find_binary, find_file from nltk.tag.api import TaggerI _hunpos_url = 'http://code.google.com/p/hunpos/' _hunpos_charset = 'ISO-8859-1' """The default encoding used by hunpos: ISO-8859-1.""" class HunposTagger(TaggerI): """ A class for pos tagging with HunPos. The input is the paths to: - a model trained on training data - (optionally) the path to the hunpos-tag binary - (optionally) the encoding of the training data (default: ISO-8859-1) Example: .. doctest:: :options: +SKIP >>> from nltk.tag.hunpos import HunposTagger >>> ht = HunposTagger('english.model') >>> ht.tag('What is the airspeed of an unladen swallow ?'.split()) [('What', 'WP'), ('is', 'VBZ'), ('the', 'DT'), ('airspeed', 'NN'), ('of', 'IN'), ('an', 'DT'), ('unladen', 'NN'), ('swallow', 'VB'), ('?', '.')] >>> ht.close() This class communicates with the hunpos-tag binary via pipes. When the tagger object is no longer needed, the close() method should be called to free system resources. The class supports the context manager interface; if used in a with statement, the close() method is invoked automatically: .. doctest:: :options: +SKIP >>> from __future__ import with_statement # python2.5 compat >>> with HunposTagger('english.model') as ht: ... ht.tag('What is the airspeed of an unladen swallow ?'.split()) ... [('What', 'WP'), ('is', 'VBZ'), ('the', 'DT'), ('airspeed', 'NN'), ('of', 'IN'), ('an', 'DT'), ('unladen', 'NN'), ('swallow', 'VB'), ('?', '.')] """ def __init__(self, path_to_model, path_to_bin=None, encoding=_hunpos_charset, verbose=False): """ Starts the hunpos-tag executable and establishes a connection with it. :param path_to_model: The model file. :param path_to_bin: The hunpos-tag binary. :param encoding: The encoding used by the model. Unicode tokens passed to the tag() and batch_tag() methods are converted to this charset when they are sent to hunpos-tag. The default is ISO-8859-1 (Latin-1). This parameter is ignored for str tokens, which are sent as-is. The caller must ensure that tokens are encoded in the right charset. """ hunpos_paths = ['.', '/usr/bin', '/usr/local/bin', '/opt/local/bin', '/Applications/bin', '~/bin', '~/Applications/bin'] hunpos_paths = map(os.path.expanduser, hunpos_paths) self._hunpos_bin = find_binary( 'hunpos-tag', path_to_bin, env_vars=('HUNPOS', 'HUNPOS_HOME'), searchpath=hunpos_paths, url=_hunpos_url, verbose=verbose) self._hunpos_model = find_file(path_to_model, env_vars=('HUNPOS', 'HUNPOS_HOME'), verbose=verbose) self._encoding = encoding self._hunpos = Popen([self._hunpos_bin, self._hunpos_model], shell=False, stdin=PIPE, stdout=PIPE, stderr=PIPE) self._closed = False def __del__(self): self.close() def close(self): """Closes the pipe to the hunpos executable.""" if not self._closed: self._hunpos.communicate() self._closed = True def __enter__(self): return self def __exit__(self, exc_type, exc_value, traceback): self.close() def tag(self, tokens): """Tags a single sentence: a list of words. The tokens should not contain any newline characters. """ for token in tokens: assert "\n" not in token, "Tokens should not contain newlines" if isinstance(token, unicode): token = token.encode(self._encoding) self._hunpos.stdin.write(token + "\n") # We write a final empty line to tell hunpos that the sentence is finished: self._hunpos.stdin.write("\n") self._hunpos.stdin.flush() tagged_tokens = [] for token in tokens: tagged = self._hunpos.stdout.readline().strip().split("\t") if len(tagged) > 1: tag = tagged[1] else: tag = None tagged_tokens.append((token, tag)) # We have to read (and dismiss) the final empty line: self._hunpos.stdout.readline() return tagged_tokens if __name__ == "__main__": import doctest doctest.testmod(optionflags=doctest.NORMALIZE_WHITESPACE)