def make_parse_dictionary():
'''
Creates a python dictionary structure from the corpus in the file
annotated-dictionary.xls, omitting nonwords of various types.
The keys are valid the stems and the values are the corresponding
parsed (root, pattern) pairs in the Dictionary.
'''
nonwordtypes = ['abbreviation', 'compound', 'dialect_word', 'foreign_word', \
'function_word', 'interjection', 'letter_name', 'proper_name']
baam_parsings=baampath + 'annotated-dictionary.xls'
parsings=form.loadexcel(baam_parsings)
source_parsings=parsings.sheet_by_name('dictionary')
entries=source_parsings.col_values(0)
root=source_parsings.col_values(1)
pattern=source_parsings.col_values(2)
source_types=parsings.sheet_by_name('types')
types = source_types.col_values(0)
dictionarydic={}
stemdic={}
point=0
for (point, entry) in enumerate(entries):
if pattern[point] not in nonwordtypes:
dictionarydic[entry]=(root[point].encode(),pattern[point].encode())
return dictionarydic
def make_BANARM_dictionary(source):
'''
Create a BANARM dictionary for a named tab ('source') in the
spreadsheet 'root-pattern-frequencies.xls'.
Requires module 'form'
Parameter:
---------------
source: string
Get BAAM data from Excel spreadsheet using function from module 'form'
'''
baam_databook=baampath+r'root-pattern-frequencies.xls'
databook=form.loadexcel(baam_databook)
source_sheet = databook.sheet_by_name(source)
source_names = source_sheet.col_values(0)
for (n, name) in enumerate(source_names):
source_names[n] = name.encode()
source_tokens = source_sheet.col_values(1)
source_no = source_sheet.nrows
return make_dictionary(source_names,source_tokens)
