... Arthur didn't feel very good.

I have a 8-meter-long.

8 meters

8 meter

10 degrees Celsius

100 foot

100 feet

100 ft

five hundred yards

1001 mile

998 miles

Light meters (more correctly illuminance meters or luxmeters) are typically used to measure interior light levels of a few hundred lux. The human eye has a very wide dynamic range; one can see objects illuminated with 0.005 lux, at which level outlines can just be perceived, through to the 100,000 lux of direct sunlight. Light meters are commonly used over the range from 1 lux, the nuisance level from street lighting, to the 10,000 lux required in some surgical situations. Specific requirements are frequently imposed by legislation, regulations, or contracts; for example 750 lux is required for the inspection of exported meat... (Click the title above for the full article.) (reproduced with permission from Automation and Control, October-November 2004 issue.)

# print(type(text))

tokens = nltk.word_tokenize(text)

tagged = nltk.pos_tag(tokens)

measurement_list = []

i = 0

while i < len(tagged) - 1:

entry = tagged[i]

next_entry = tagged[i + 1]

# print(entry)

if entry[1] == 'CD' and next_entry[1] in ('NN', 'NNS'):

if next_entry[0] != ']' and next_entry[0] != '[':

measurement_list.append(' '.join([entry[0], next_entry[0]]))

i += 1

file_list = []

with open(path) as index_file:

i = 0

for line in index_file:

if i < start_index:

i += 1

continue

if start_index <= i < end_index:

file_list.append(line.replace(base_dir, '')[:-1])

i += 1

else:

break

if not os.path.exists(output_dir):

os.makedirs(output_dir)

with open(''.join([output_dir, file_name, '.json']), 'w') as output_file:

json_data = json.dumps(a_list, indent=4)

output_file.write(json_data)

index_file = '/Users/Frank/PycharmProjects/599assignment1/geo-topic-parser-folder/geo-topic-all-files.txt'

base_directory = '/Users/Frank/Desktop/fulldump/raw-dataset/'

file_list = read_index_file(index_file, base_directory, start_index, end_index)

measurement_list = []

index = 0 + start_index

for entry in file_list:

print(index)

parsed = parser.from_file(''.join([base_directory, entry]))

if 'metadata' in parsed:

if 'X-TIKA:EXCEPTION:embedded_exception' in parsed['metadata']:

index += 1

continue

if 'content' in parsed:

if parsed['content'] is not None:

# print(json.dumps(parsed['metadata'], indent=4))

# print(parsed['content'])

# print('content size ', len(parsed['content']))

if len(parsed['content']) > 1 * 1024 * 1024:

index += 1

continue

measurements = extract_measurement(parsed['content'])

if measurements is not None and len(measurements) > 0:

measurement_list.append({entry.split('/')[-1]: measurements})

index += 1

dump_to_json(measurement_list, '/Users/Frank/working-directory/ner-measurement-mentions/',

'from' + str(start_index) + 'to' + str(end_index))

# measurement_list = extract_measurement(sentence)

# print(measurement_list)

# parse_owl_directory('/Users/Frank/Downloads/2.3/')

# read_index_file('/Users/Frank/PycharmProjects/599assignment1/geo-topic-parser-folder/geo-topic-all-files.txt',

# '/Users/Frank/Desktop/fulldump/raw-dataset/')

start_index = 0

end_index = MAX_INT_VALUE

if len(sys.argv) >= 2:

start_index = int(sys.argv[1])

if len(sys.argv) >= 3:

end_index = int(sys.argv[2])

print(start_index, end_index)

run_ner(start_index, end_index)