def Make_Random(sents):
"""
Make random parses (from LG-parser "any"), to use as baseline
"""
any_dict = Dictionary('any') # Opens dictionary only once
po = ParseOptions(min_null_count=0, max_null_count=999)
po.linkage_limit = 100
options = 0x00000000 | BIT_STRIP #| BIT_ULL_IN
options |= BIT_CAPS
random_parses = []
for sent in sents:
num_words = len(sent)
curr_parse = []
# subtitute words with numbers, as we only care about the parse tree
fake_words = ["w{}".format(x) for x in range(1, num_words + 1)]
# restore final dot to maintain --ignore functionality
if sent[-1] == ".":
fake_words[-1] = "."
sent_string = " ".join(fake_words)
sentence = Sentence(sent_string, any_dict, po)
linkages = sentence.parse()
num_parses = len(linkages) # check nbr of linkages in sentence
if num_parses > 0:
idx = random.randint(0, num_parses - 1) # choose a random linkage index
linkage = Linkage(idx, sentence, po._obj) # get the random linkage
tokens, links = parse_postscript(linkage.postscript().replace("\n", ""), options)
for link in links:
llink = link[0]
rlink = link[1]
curr_parse.append([str(llink), tokens[llink], str(rlink), tokens[rlink]])
random_parses.append(curr_parse)
return random_parses
def make_random(sentences: Union[List[Tuple[str, set]], List[str]],
options: int, **kwargs) -> List[Tuple[str, set]]:
"""
Make random parses (from LG-parser "any"), to use as baseline
:param sentences: List of either tuples of sentence and set of links in case of .ull input file format
or strings in case of text input file format.
:param options: Integer representing parse options bit masks.
:return: List of parses (tuples of sentence and set of links)
"""
any_dict = Dictionary('any') # Opens dictionary only once
po = ParseOptions(min_null_count=0, max_null_count=999)
po.linkage_limit = int(kwargs.get("limit", 100))
options |= BIT_STRIP
options |= BIT_CAPS
if isinstance(sentences[0], tuple):
is_ull = True
elif isinstance(sentences[0], str):
is_ull = False
else:
raise ValueError(
"The first argument should be either List[Tuple[str, set] or List[str]."
)
random_parses = []
for sent in sentences:
words = tokenize_sentence(sent[0] if is_ull else sent)
num_words = len(words)
# substitute words with numbers, to avoid token-splitting by LG "any"
fake_words = [f"w{x}" for x in range(1, num_words)]
# fake_words = [f"w{x}" for x in range(1, num_words + 1)]
sent_string = " ".join(fake_words)
sentence = Sentence(sent_string, any_dict, po)
linkages = sentence.parse()
num_parses = len(linkages) # check nbr of linkages in sentence
links = []
if num_parses > 0:
idx = random.randint(0, num_parses -
1) # choose a random linkage index
linkage = Linkage(idx, sentence, po._obj) # get the random linkage
tokens, links = parse_postscript(
linkage.postscript().replace("\n", ""), options)
if num_words != len(tokens):
logger.error(
f"Number of tokens mismatch:\n{words}\n{tokens}\nfor sentence:\n{sent[0]}"
)
random_parses.append((sent[0], set(links)))
return random_parses
def test_that_sentence_can_be_destroyed_when_linkages_still_exist(self):
"""
If the parser is deleted before the associated swig objects
are, there will be bad pointer dereferences (as the swig
objects will be pointing into freed memory). This test ensures
that parsers can be created and deleted without regard for
the existence of PYTHON Linkage objects
"""
s = Sentence('This is a sentence.', Dictionary(), ParseOptions())
linkages = s.parse()
del s
def language(self, value):
self._dict = None
if hasattr(self, '_obj_dict') and self._obj_dict is not None:
del self._obj_dict
try:
self._obj_dict = Dictionary(value)
self._dict = value
except LG_DictionaryError as err:
print(str(err))
def get_grammar_score(text, verbose=False):
language_dict = Dictionary('en')
incorrect_sentence_count = 0
sentences = nltk.sent_tokenize(text)
for sentence in sentences:
if not is_grammatical_sentence(sentence, language_dict):
incorrect_sentence_count += 1
if verbose:
print("num incorrect sentences: ", incorrect_sentence_count)
print("total sentences: ", len(sentences))
return incorrect_sentence_count, len(sentences)
def parse_text(dict_path, corpus_path, output_id=OUTPUT_DIAGRAM):
"""
Link parser invocation routine
:param dict_path: name or path to the dictionary
:param corpus_path: path to the test text file
:param output_id: numetic type of one of three possible output format
:return:
"""
def s(q):
""" Helper routine """
return '' if q == 1 else 's'
def linkage_stat(psent, lang, lkgs, sent_po):
"""
This function mimics the linkage status report style of link-parser
"""
random = ' of {} random linkages'. \
format(clg.sentence_num_linkages_post_processed((psent._obj))) \
if clg.sentence_num_linkages_found(psent._obj) > sent_po.linkage_limit else ''
print('`{}: Found {} linkage{} ({}{} had no P.P. violations)`'. \
format(lang, clg.sentence_num_linkages_found(psent._obj),
s(clg.sentence_num_linkages_found(psent._obj)), len(lkgs), random))
po = ParseOptions(min_null_count=0, max_null_count=999)
#po.linkage_limit = 3
dict = Dictionary(dict_path) # open the dictionary only once
with open(corpus_path) as f:
for line in f:
print(line, end="")
sent = Sentence(line, dict, po)
linkages = sent.parse()
linkage_stat(sent, dict_path, linkages, po)
if output_id == OUTPUT_POSTSCRIPT:
for linkage in linkages:
print(linkage.postscript())
elif output_id == OUTPUT_CONSTITUENT:
for linkage in linkages:
print(linkage.constituent_tree())
else:
for linkage in linkages:
print(linkage.diagram())
# Prevent interleaving "Dictionary close" messages
po = ParseOptions(verbosity=0)
def __init__(self, lang, limit=None):
""" Constructor for local LG use """
super().__init__()
try:
self._obj_dict = Dictionary(lang)
self._dict = lang
except LG_DictionaryError as err:
print(str(err))
self._parse_options = ParseOptions(min_null_count=0,
max_null_count=999)
if limit is not None:
self._parse_options.linkage_limit = limit
def Make_Random(sents, **kwargs):
"""
Make random parses (from LG-parser "any"), to use as baseline
"""
output_path = kwargs.get("output_path", os.environ["PWD"])
any_dict = Dictionary('any') # Opens dictionary only once
po = ParseOptions(min_null_count=0, max_null_count=999)
po.linkage_limit = 100
options = 0x00000000 | BIT_STRIP #| BIT_ULL_IN
options |= BIT_CAPS
random_parses = []
for sent in sents:
num_words = len(sent)
curr_sent = sent[:]
curr_sent.insert(0, "###LEFT-WALL###")
curr_parse = []
# subtitute words with numbers, to avoid token-splitting by LG "any"
fake_words = ["w{}".format(x) for x in range(1, num_words + 1)]
sent_string = " ".join(fake_words)
sentence = Sentence(sent_string, any_dict, po)
linkages = sentence.parse()
num_parses = len(linkages) # check nbr of linkages in sentence
if num_parses > 0:
idx = random.randint(0, num_parses -
1) # choose a random linkage index
linkage = Linkage(idx, sentence, po._obj) # get the random linkage
tokens, links = parse_postscript(
linkage.postscript().replace("\n", ""), options)
for link in links:
llink = link[0]
rlink = link[1]
# attach words from sent, which are the actual words
curr_parse.append([
str(llink), curr_sent[llink],
str(rlink), curr_sent[rlink]
])
random_parses.append(curr_parse)
Print_parses(sents, random_parses, f"{output_path}/random_parses.ull")
return random_parses
def setUpClass(cls):
cls.d = Dictionary()
cls.po = None
def setUp(self):
self.d, self.po = Dictionary(), ParseOptions()
from linkgrammar import (Sentence, ParseOptions, Dictionary, LG_TimerExhausted,
Clinkgrammar as clg)
print("Version:", clg.linkgrammar_get_version())
def nsuffix(q):
return '' if q == 1 else 's'
#-----------------------------------------------------------------------------#
DISPLAY_GUESSES = True # Display regex and POS guesses
DEBUG_POSITION = True # Debug word position
po = ParseOptions(verbosity=0) # 1=more verbose; 2=trace; >5=debug
lgdict = Dictionary('en')
po.max_null_count = 999 # > allowed maximum number of words
po.max_parse_time = 10 # actual parse timeout may be about twice bigger
po.spell_guess = 0 # spell guesses are not handled in this demo
# iter(): avoid python2 input buffering
for sentence_text in iter(sys.stdin.readline, ''):
if sentence_text.strip() == '':
continue
sent = Sentence(sentence_text, lgdict, po)
try:
linkages = sent.parse()
except LG_TimerExhausted:
print('Sentence too complex for parsing in ~{} second{}.'.format(
po.max_parse_time, nsuffix(po.max_parse_time)))
def parse_file_with_api(dict_path, corpus_path, output_path, linkage_limit, options) \
-> (float, float, float):
"""
Link parser invocation routine.
:param dict_path: name or path to the dictionary
:param corpus_path: path to the test text file
:param output_path: output file path
:param linkage_limit: maximum number of linkages LG may return when parsing a sentence
:param options: bit field. Use bit mask constants to set or reset one or multiple bits:
BIT_CAPS = 0x01 Keep capitalized letters in tokens untouched if set,
make all lowercase otherwise.
BIT_RWALL = 0x02 Keep all links with RIGHT-WALL if set, ignore them otherwise.
BIT_STRIP = 0x04 Strip off token suffixes if set, remove them otherwise.
:return: tuple (float, float, float):
- percentage of totally parsed sentences;
- percentage of completely unparsed sentences;
- percentage of parsed sentences;
"""
input_file_handle = None
output_file_handle = None
# Sentence statistics variables
sent_full = 0 # number of fully parsed sentences
sent_none = 0 # number of completely unparsed sentences
sent_stat = 0.0 # average value of parsed sentences (linkages)
line_count = 0 # number of sentences in the corpus
print("Info: Parsing a corpus file: '" + corpus_path + "'")
print("Info: Using dictionary: '" + dict_path + "'")
if output_path is not None:
print("Info: Parses are saved in: '" + output_path +
get_output_suffix(options) + "'")
else:
print(
"Info: Output file name is not specified. Parses are redirected to 'stdout'."
)
try:
link_line = re.compile(r"\A[0-9].+")
po = ParseOptions(min_null_count=0, max_null_count=999)
po.linkage_limit = linkage_limit
di = Dictionary(dict_path)
input_file_handle = open(corpus_path)
output_file_handle = sys.stdout if output_path is None else open(
output_path + get_output_suffix(options), "w")
for line in input_file_handle:
# Filter out links when ULL parses are used as input
if options & BIT_ULL_IN > 0 and link_line.match(line):
continue
# Skip empty lines to get proper statistics estimation and skip commented lines
if len(line.strip()) < 1 or line.startswith("#"):
continue
sent = Sentence(line, di, po)
linkages = sent.parse()
# Number of linkages taken in statistics estimation
linkage_countdown = 1
temp_full = 0
temp_none = 0
temp_stat = 0.0
for linkage in linkages:
#=============================================================================================================
if (options & BIT_OUTPUT_DIAGRAM) == BIT_OUTPUT_DIAGRAM:
print(linkage.diagram(), file=output_file_handle)
elif (options
& BIT_OUTPUT_POSTSCRIPT) == BIT_OUTPUT_POSTSCRIPT:
print(linkage.postscript(), file=output_file_handle)
elif (options
& BIT_OUTPUT_CONST_TREE) == BIT_OUTPUT_CONST_TREE:
print(linkage.constituent_tree(), file=output_file_handle)
tokens, links = parse_postscript(
linkage.postscript().replace("\n", ""), options,
output_file_handle)
if not (options & BIT_OUTPUT):
print_output(tokens, links, options, output_file_handle)
(f, n, s) = calc_stat(tokens)
if linkage_countdown:
temp_full += f
temp_none += n
temp_stat += s
linkage_countdown -= 1
if len(linkages) > 0:
sent_full += temp_full
sent_none += temp_none
sent_stat += temp_stat / float(len(linkages))
else:
sent_none += 1
line_count += 1
# Prevent interleaving "Dictionary close" messages
ParseOptions(verbosity=0)
except LG_Error as err:
print(str(err))
except IOError as err:
print(str(err))
except FileNotFoundError as err:
print(str(err))
finally:
if input_file_handle is not None:
input_file_handle.close()
if output_file_handle is not None and output_file_handle != sys.stdout:
output_file_handle.close()
return (0.0, 0.0,
0.0) if line_count == 0 else (float(sent_full) /
float(line_count),
float(sent_none) /
float(line_count),
sent_stat / float(line_count))
他のプログラムと異なりpython2.7で実行する
'''
from __future__ import print_function
import os
import re
import random
import locale
from linkgrammar import Sentence, ParseOptions, Dictionary
locale.setlocale(locale.LC_ALL, "en_US.UTF-8")
po = ParseOptions()
en_dir = Dictionary()
def s(q):
return '' if q == 1 else 's'
def linkage_stat(psent, lang):
"""
This function mimics the linkage status report style of link-parser
"""
random = ' of {0} random linkages'. \
format(psent.num_linkages_post_processed()) \
if psent.num_valid_linkages() < psent.num_linkages_found() else ''
print('{0}: Found {1} linkage{2} ({3}{4} had no P.P. violations)'. \
# from linkgrammar import _clinkgrammar as clg
locale.setlocale(locale.LC_ALL, "en_US.UTF-8")
po = ParseOptions()
def desc(linkage):
print linkage.diagram()
print 'Postscript:'
print linkage.postscript()
print '---'
# English is the default language
linkages = Sentence("This is a test.", Dictionary(), po).parse()
print "English: found ", len(linkages), "linkages"
for linkage in linkages:
desc(linkage)
# Russian
linkages = Sentence("это большой тест.", Dictionary('ru'), po).parse()
print "Russian: found ", len(linkages), "linkages"
for linkage in linkages:
desc(linkage)
# Turkish
linkages = Sentence("çok şişman adam geldi", Dictionary('tr'), po).parse()
print "Turkish: found ", len(linkages), "linkages"
for linkage in linkages:
desc(linkage)
print('{}: Found {} linkage{} ({}{} had no P.P. violations)'.format(
lang, clg.sentence_num_linkages_found(psent._obj),
s(clg.sentence_num_linkages_found(psent._obj)), len(lkgs), random))
en_lines = [
'This is a test.',
'I feel is the exciter than other things', # from issue #303 (10 linkages)
]
po = ParseOptions(min_null_count=0, max_null_count=999)
#po.linkage_limit = 3
# English is the default language
en_dir = Dictionary() # open the dictionary only once
for text in en_lines:
sent = Sentence(text, en_dir, po)
linkages = sent.parse()
linkage_stat(sent, 'English', linkages, po)
for linkage in linkages:
desc(linkage)
# Russian
sent = Sentence(
"Целью курса является обучение магистрантов основам построения и функционирования программного обеспечения сетей ЭВМ.",
Dictionary('ru'), po)
linkages = sent.parse()
linkage_stat(sent, 'Russian', linkages, po)
for linkage in linkages:
desc(linkage)
def setUp(self):
self.d, self.po = Dictionary(lang='en'), ParseOptions()
self.po = ParseOptions(use_sat=True)
if self.po.use_sat != True:
raise unittest.SkipTest("Library not configured with SAT parser")
def parse_text(dict_path, corpus_path, output_path, is_caps, is_rwall,
is_strip, linkage_limit):
"""
Link parser invocation routine
:param dict_path: name or path to the dictionary
:param corpus_path: path to the test text file
:param output_path: output file path
:param is_caps: boolean value tells to leave CAPS in tokens if set to True, make all lowercase otherwise
:param is_rwall: boolean value tells to leave RIGHT-WALL tokens if set to True, remove otherwise
:param is_strip: boolean value tells to strip off token suffixes if set to True, remove otherwise
:param linkage_limit: maximum number of linkages LG may return when parsing a sentence
:return:
"""
def parse_postscript(text, ofile):
"""
Parse postscript notation of the linkage.
:param text: text string returned by Linkage.postscript() method.
:param ofile: output file object refference
:return:
"""
def strip_token(token) -> str:
"""
Strip off suffix substring
:param token: token string
:return: stripped token if a suffix found, the same token otherwise
"""
if token.startswith(".") or token.startswith("["):
return token
pos = token.find("[")
# If "." is not found
if pos < 0:
pos = token.find(".")
# If "[" is not found or token starts with "[" return token as is.
if pos <= 0:
return token
return token[:pos:]
def parse_tokens(text, caps=False, rw=False, strip=True) -> list:
"""
Parse string of tokens
:param text: string token line extracted from postfix notation output string returned by Linkage.postfix()
method.
:param caps: boolean value indicating weather or not CAPS should be untouched or lowercased
:param rw: boolean value indicating weather or not RIGHT-WALL should be taken into account or ignored
:param strip: boolean value indicating weather or not token suffixes should be stripped off or left
untouched
:return: list of tokes
"""
tokens = []
start_pos = 1
end_pos = text.find(")")
while end_pos - start_pos > 0:
token = text[start_pos:end_pos:]
if strip:
token = strip_token(token)
if token.find("-WALL") > 0:
token = "###" + token + "###"
else:
if not caps:
token = token.lower()
if token.find("RIGHT-WALL") < 0:
tokens.append(token)
elif rw:
tokens.append(token)
start_pos = end_pos + 2
end_pos = text.find(")", start_pos)
return tokens
def parse_links(text, tokens) -> list:
"""
Parse links represented in postfix notation and prints them in OpenCog notation.
:param text: link list in postfix notation
:param tokens: list of tokens previously extracted from postfix notated output
:return:
"""
links = []
token_count = len(tokens)
start_pos = 1
end_pos = text.find("]")
p = re.compile('(\d+)\s(\d+)\s\d+\s\(.+\)')
while end_pos - start_pos > 0:
m = p.match(text[start_pos:end_pos:])
if m is not None:
index1 = int(m.group(1))
index2 = int(m.group(2))
if index2 < token_count:
links.append(
(index1, tokens[index1], index2, tokens[index2]))
start_pos = end_pos + 2
end_pos = text.find("]", start_pos)
return links
def print_output(tokens, links, ofile):
for token in tokens[1:]:
ofile.write(token + ' ')
ofile.write('\n')
for link in links:
print(link[0], link[1], link[2], link[3], file=ofile)
print('', file=ofile)
# def parse_postscript(text, ofile):
p = re.compile('\[(\(LEFT-WALL\).+\(RIGHT-WALL\))\]\[(.+)\]\[0\]')
m = p.match(text)
if m is not None:
tokens = parse_tokens(m.group(1))
sorted_links = sorted(parse_links(m.group(2), tokens),
key=lambda x: (x[0], x[2]))
print_output(tokens, sorted_links, ofile)
f = None
o = None
try:
po = ParseOptions(min_null_count=0, max_null_count=999)
po.linkage_limit = linkage_limit
di = Dictionary(dict_path)
f = open(corpus_path)
o = sys.stdout if output_path is None else open(output_path, "w")
for line in f:
sent = Sentence(line, di, po)
linkages = sent.parse()
# print("Linkages:", len(linkages))
for linkage in linkages:
# print(linkage.diagram())
parse_postscript(linkage.postscript().replace("\n", ""), o)
# Prevent interleaving "Dictionary close" messages
po = ParseOptions(verbosity=0)
except LG_Error as err:
print(str(err))
except IOError as err:
print(str(err))
except FileNotFoundError as err:
print(str(err))
finally:
if f is not None:
f.close()
if o is not None and o != sys.stdout:
o.close()
def setUp(self):
self.d, self.po = Dictionary(lang='lt'), ParseOptions()
def linkage_stat(psent, lang):
"""
This function mimics the linkage status report style of link-parser
"""
random = ' of {0} random linkages'. \
format(psent.num_linkages_post_processed()) \
if psent.num_valid_linkages() < psent.num_linkages_found() else ''
print '{0}: Found {1} linkage{2} ({3}{4} had no P.P. violations)'. \
format(lang, psent.num_linkages_found(),
s(psent.num_linkages_found()),
psent.num_valid_linkages(), random)
# English is the default language
sent = Sentence("This is a test.", Dictionary(), po)
linkages = sent.parse()
linkage_stat(sent, 'English')
for linkage in linkages:
desc(linkage)
# Russian
sent = Sentence("это большой тест.", Dictionary('ru'), po)
linkages = sent.parse()
linkage_stat(sent, 'Russian')
for linkage in linkages:
desc(linkage)
# Turkish
po = ParseOptions(islands_ok=True, max_null_count=1, display_morphology=True)
sent = Sentence("Senin ne istediğini bilmiyorum", Dictionary('tr'), po)
return '' if q == 1 else 's'
#-----------------------------------------------------------------------------#
DISPLAY_GUESSES = True # Display regex and POS guesses
DEBUG_POSITION = True # Debug word position
DISPLAY_MORPHOLOGY = True
lang = 'en'
if len(sys.argv) > 1:
lang = sys.argv[1]
po = ParseOptions(verbosity=0) # 1=more verbose; 2=trace; >5=debug
lgdict = Dictionary(lang)
po.max_null_count = 999 # > allowed maximum number of words
po.max_parse_time = 10 # actual parse timeout may be about twice bigger
po.spell_guess = True if DISPLAY_GUESSES else False
po.display_morphology = True if DISPLAY_MORPHOLOGY else False
if sys.version_info < (3, 0):
import codecs
#sys.stdout = codecs.getreader('utf-8')(sys.stdout)
print("Enter sentences:")
# iter(): avoid python2 input buffering
for sentence_text in iter(sys.stdin.readline, ''):
if sentence_text.strip() == '':
continue
def linkage_stat(psent, lang):
"""
This function mimics the linkage status report style of link-parser
"""
random = ' of {0} random linkages'. \
format(psent.num_linkages_post_processed()) \
if psent.num_valid_linkages() < psent.num_linkages_found() else ''
print '{0}: Found {1} linkage{2} ({3}{4} had no P.P. violations)'. \
format(lang, psent.num_linkages_found(),
s(psent.num_linkages_found()),
psent.num_valid_linkages(), random)
# English is the default language
sent = Sentence("This is a test.", Dictionary(), po)
linkages = sent.parse()
linkage_stat(sent, 'English')
for linkage in linkages:
desc(linkage)
# Russian
sent = Sentence("это большой тест.", Dictionary('ru'), po)
linkages = sent.parse()
linkage_stat(sent, 'Russian')
for linkage in linkages:
desc(linkage)
# Turkish
sent = Sentence("çok şişman adam geldi", Dictionary('tr'), po)
linkages = sent.parse()
def on_get(self, req, resp):
""" Handle HTTP GET request """
link_list = {} # output dictionary
link_list['errors'] = [] # list of errors if any
link_list['linkages'] = [] # list of linkages in requested format
try:
# logging IPs just in case
logging.info("Connection from: " + (", ".join(req.access_route)))
# Get input parammeters
lang = req.get_param('lang')
text = req.get_param('text')
mode = req.get_param_as_int('mode')
limit = req.get_param_as_int('limit')
# If no sentence is specified, then nothing to do...
if text == None:
logging.debug(
"Parameter 'text' is not specified. Nothing to parse.")
raise falcon.HTTPBadRequest(
"Parameter 'text' is not specified. Nothing to parse.")
# Use default language if no language is specified
if lang is None:
lang = DEFAULT_LANGUAGE
logging.info(
"'lang' parameter is not specified in request. 'lang' is set to '"
+ DEFAULT_LANGUAGE + "'")
# Use default mode if no or improper value is specified
if mode is None or mode < 0 or mode > MAX_MODE_VALUE:
mode = DEFAULT_MODE
logging.info(
"'mode' value is not properly specified in request. 'mode' is set to "
+ str(mode))
# Use default limit if no value is specified
# or value is not within the range [1, MAX_LINKAGE_LIMIT]
if limit is None or limit < 1 or limit > MAX_LINKAGE_LIMIT:
limit = DEFAULT_LIMIT
logging.info(
"'limit' value is not properly specified in request. 'limit' is set to "
+ str(limit))
# Save input parammeters to the output dictionary, just in case someone needs them
link_list['lang'] = lang
link_list['mode'] = mode
link_list['text'] = text
link_list['limit'] = limit
# Use default dictionary if it was not explicitly specified
dict_path = LG_DICT_DEFAULT_PATH + "/" + lang
dict_path = lang if not os.path.isdir(dict_path) else dict_path
logging.info("Dictionary path used: " + dict_path)
# Invoke link-parser, if the parameters are correctly specified
po = ParseOptions(verbosity=0,
min_null_count=0,
max_null_count=999)
po.linkage_limit = limit
sent = Sentence(text, Dictionary(dict_path), po)
logging.debug("Sentence: '" + sent.text + "'")
linkages = sent.parse()
if mode == MOD_CONSTTREE:
for linkage in linkages:
link_list['linkages'].append(linkage.constituent_tree())
elif mode == MOD_POSTSCRIPT:
for linkage in linkages:
link_list['linkages'].append(linkage.postscript())
elif mode == MOD_ULL_SENT:
for linkage in linkages:
link_list['linkages'].append(
get_ull_sentence(linkage.postscript()))
else: # MOD_DIAGRAM is default mode
for linkage in linkages:
link_list['linkages'].append(linkage.diagram())
# Prevent interleaving "Dictionary close" messages
po = ParseOptions(verbosity=0)
except LG_Error as err:
error_msg = "LG_Error: " + str(err)
link_list["errors"].append(error_msg)
logging.error(error_msg)
except Exception as err:
error_msg = "Exception: " + str(err)
link_list["errors"].append(error_msg)
logging.error(error_msg)
except BaseException as err:
error_msg = "BaseException: " + str(err)
link_list["errors"].append(error_msg)
logging.error(error_msg)
except:
error_msg = "Unhandled exception."
link_list["errors"].append(error_msg)
logging.error(error_msg)
# Return proper JSON output
resp.body = json.dumps(link_list)
resp.status = falcon.HTTP_200
def setUpClass(cls):
cls.d, cls.po = Dictionary(), ParseOptions()
#! /usr/bin/env python
# -*- coding: utf8 -*-
# ASuMa, Mar 2018
# Tokenizer that uses LG functionality
# See main() documentation
import getopt, sys
import os
from linkgrammar import Linkage, Sentence, ParseOptions, Dictionary, Clinkgrammar as clg
any_dict = Dictionary('any') # Opens dictionary only once
po = ParseOptions(min_null_count=0, max_null_count=999)
def main(argv):
"""
Tokenizer procedure that uses LG tokenizer with python bindings
Usage: tokenizer.py -i <inputdir> -o <outdir>
inputdir Name of input directory
outdir Name of ouput directory
"""
inputfile = ''
outputfile = ''
try:
opts, args = getopt.getopt(argv, "hi:o:", ["inputdir=", "outdir="])
except getopt.GetoptError:
def setUpClass(cls):
cls.d, cls.po = Dictionary(lang='ru'), ParseOptions()
print ('{}: Found {} linkage{} ({}{} had no P.P. violations)'. \
format(lang, clg.sentence_num_linkages_found(psent._obj),
s(clg.sentence_num_linkages_found(psent._obj)), len(lkgs), random))
en_lines = [
'This is a test.',
'I feel is the exciter than other things', # from issue #303 (10 linkages)
]
po = ParseOptions(min_null_count=0, max_null_count=999)
#po.linkage_limit = 3
# English is the default language
en_dir = Dictionary() # open the dictionary only once
for text in en_lines:
sent = Sentence(text, en_dir, po)
linkages = sent.parse()
linkage_stat(sent, 'English', linkages, po)
for linkage in linkages:
desc(linkage)
# # Russian
# sent = Sentence("Целью курса является обучение магистрантов основам построения и функционирования программного обеспечения сетей ЭВМ.", Dictionary('ru'), po)
# linkages = sent.parse()
# linkage_stat(sent, 'Russian', linkages, po)
# for linkage in linkages:
# desc(linkage)
#
# # Turkish
def parse(self, dict_path: str, corpus_path: str, output_path: str, ref_path: str, options: int) \
-> (ParseMetrics, ParseQuality):
"""
Link Grammar API parser invokation routine.
:param dict_path: Dictionary file or directory path.
:param corpus_path: Corpus file or directory path.
:param output_path: Output file or directory path.
:param ref_path: Reference file or directory path.
:param options: Bit field. See `optconst.py` for details
:return: Tuple (ParseMetrics, ParseQuality)
"""
input_file_handle = None
output_file_handle = None
ref_parses = []
# Sentence statistics variables
total_metrics, total_quality = ParseMetrics(), ParseQuality()
sentence_count = 0 # number of sentences in the corpus
print("Info: Parsing a corpus file: '" + corpus_path + "'")
print("Info: Using dictionary: '" + dict_path + "'")
if output_path is not None:
print("Info: Parses are saved in: '" + output_path+get_output_suffix(options) + "'")
else:
print("Info: Output file name is not specified. Parses are redirected to 'stdout'.")
try:
if options & BIT_PARSE_QUALITY and ref_path is not None:
try:
data = load_ull_file(ref_path)
ref_parses = get_parses(data, (options & BIT_NO_LWALL) == BIT_NO_LWALL, False)
except Exception as err:
print("Exception: " + str(err))
link_line = re.compile(r"\A[0-9].+")
po = ParseOptions(min_null_count=0, max_null_count=999)
po.linkage_limit = self._linkage_limit
di = Dictionary(dict_path)
input_file_handle = open(corpus_path)
output_file_handle = sys.stdout if output_path is None \
else open(output_path+get_output_suffix(options), "w")
for line in input_file_handle:
# Filter out links when ULL parses are used as input
if options & BIT_ULL_IN > 0 and link_line.match(line):
continue
# Skip empty lines to get proper statistics estimation and skip commented lines
if len(line.strip()) < 1: # or line.startswith("#"):
continue
# Tokenize and parse the sentence
sent = Sentence(line, di, po)
linkages = sent.parse()
sent_metrics, sent_quality = ParseMetrics(), ParseQuality()
linkage_count = 0
for linkage in linkages:
# Only the first linkage is counted.
if linkage_count == 1:
break
if (options & BIT_OUTPUT_DIAGRAM) == BIT_OUTPUT_DIAGRAM:
print(linkage.diagram(), file=output_file_handle)
elif (options & BIT_OUTPUT_POSTSCRIPT) == BIT_OUTPUT_POSTSCRIPT:
print(linkage.postscript(), file=output_file_handle)
elif (options & BIT_OUTPUT_CONST_TREE) == BIT_OUTPUT_CONST_TREE:
print(linkage.constituent_tree(), file=output_file_handle)
elif not (options & BIT_OUTPUT):
tokens, links = parse_postscript(linkage.postscript().replace("\n", ""), options,
output_file_handle)
# Print ULL formated parses
print_output(tokens, links, options, output_file_handle)
# Calculate parseability
sent_metrics += parse_metrics(prepare_tokens(tokens, options))
# Calculate parse quality if the option is set
if options & BIT_PARSE_QUALITY and len(ref_parses):
sent_quality += parse_quality(get_link_set(tokens, links, options),
ref_parses[sentence_count][1])
linkage_count += 1
assert sent_metrics.average_parsed_ratio <= 1.0, "sent_metrics.average_parsed_ratio > 1.0"
assert sent_quality.quality <= 1.0, "sent_quality.quality > 1.0"
total_metrics += sent_metrics
total_quality += sent_quality
# if not linkage_count:
# sent_metrics.completely_unparsed_ratio += 1
sentence_count += 1
total_metrics.sentences = sentence_count
total_quality.sentences = sentence_count
# Prevent interleaving "Dictionary close" messages
ParseOptions(verbosity=0)
except LG_DictionaryError as err:
print("LG_DictionaryError: " + str(err))
except LG_Error as err:
print("LG_Error: " + str(err))
except IOError as err:
print("IOError: " + str(err))
except FileNotFoundError as err:
print("FileNotFoundError: " + str(err))
finally:
if input_file_handle is not None:
input_file_handle.close()
if output_file_handle is not None and output_file_handle != sys.stdout:
output_file_handle.close()
return total_metrics, total_quality
def setUpClass(cls):
cls.d = Dictionary()
metavar='[0-199]',
help="1: Basic verbosity; 2-4: Trace; >5: Debug")
args.add_argument("-p",
"--position",
action="store_true",
help="show word sentence position")
args.add_argument("-nm",
"--no-morphology",
dest='morphology',
action='store_false',
help="do not display morphology")
arg = args.parse_args()
try:
lgdict = Dictionary(arg.lang)
except LG_Error:
# The default error handler will print the error message
args.print_usage()
sys.exit(2)
po = ParseOptions(verbosity=arg.verbosity)
po.max_null_count = 999 # > allowed maximum number of words
po.max_parse_time = 10 # actual parse timeout may be about twice bigger
po.spell_guess = True if DISPLAY_GUESSES else False
po.display_morphology = arg.morphology
print("Enter sentences:")
# iter(): avoid python2 input buffering
for sentence_text in iter(sys.stdin.readline, ''):
def setUpClass(cls):
cls.d, cls.po = Dictionary(), ParseOptions(linkage_limit=300)
