import MBSP
# Ensure that the tokenizer's biomedical mode is enabled:
MBSP.tokenizer.BIOMEDICAL = True
# The biomedical parse() function is similar to MBSP's,
# but the output has an additional SEMANTIC tag at the end ('cell_type', 'NONE', ...)
# This tag ends up in Word.custom_tags when split() is called with the TokenString output.
SEMANTIC = 'semantic'
#--- INSTALL SERVERS ---------------------------------------------------------------------------------
MBSP.active_servers.append(
MBSP.Server(
name = 'biomedical_pos',
port = 6065,
process = MBSP.MBT,
features = {'-s' : os.path.join(MODULE, 'models', 'GENIAPOS.settings'),}))
# All the server options are bundled in a .settings file.
MBSP.active_servers.append(
MBSP.Server(
name = 'biomedical_sem',
port = 6066,
process = MBSP.MBT,
features = {'-s' : os.path.join(MODULE, 'models', 'GENIASEM.settings'),}))
# All the server options are bundled in a .settings file.
#--- EXTEND TAGGER/CHUNKER ---------------------------------------------------------------------------
def update_pos_tag(tokenstring):
