microproduct/atmosphericDelay/ISCEApp/site-packages/whoosh/lang/snowball/danish.py

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2023-08-28 10:17:29 +00:00
from .bases import _ScandinavianStemmer
from whoosh.compat import u
class DanishStemmer(_ScandinavianStemmer):
"""
The Danish Snowball stemmer.
:cvar __vowels: The Danish vowels.
:type __vowels: unicode
:cvar __consonants: The Danish consonants.
:type __consonants: unicode
:cvar __double_consonants: The Danish double consonants.
:type __double_consonants: tuple
:cvar __s_ending: Letters that may directly appear before a word final 's'.
:type __s_ending: unicode
:cvar __step1_suffixes: Suffixes to be deleted in step 1 of the algorithm.
:type __step1_suffixes: tuple
:cvar __step2_suffixes: Suffixes to be deleted in step 2 of the algorithm.
:type __step2_suffixes: tuple
:cvar __step3_suffixes: Suffixes to be deleted in step 3 of the algorithm.
:type __step3_suffixes: tuple
:note: A detailed description of the Danish
stemming algorithm can be found under
http://snowball.tartarus.org/algorithms/danish/stemmer.html
"""
# The language's vowels and other important characters are defined.
__vowels = u("aeiouy\xE6\xE5\xF8")
__consonants = "bcdfghjklmnpqrstvwxz"
__double_consonants = ("bb", "cc", "dd", "ff", "gg", "hh", "jj",
"kk", "ll", "mm", "nn", "pp", "qq", "rr",
"ss", "tt", "vv", "ww", "xx", "zz")
__s_ending = u("abcdfghjklmnoprtvyz\xE5")
# The different suffixes, divided into the algorithm's steps
# and organized by length, are listed in tuples.
__step1_suffixes = ("erendes", "erende", "hedens", "ethed",
"erede", "heden", "heder", "endes",
"ernes", "erens", "erets", "ered",
"ende", "erne", "eren", "erer", "heds",
"enes", "eres", "eret", "hed", "ene", "ere",
"ens", "ers", "ets", "en", "er", "es", "et",
"e", "s")
__step2_suffixes = ("gd", "dt", "gt", "kt")
__step3_suffixes = ("elig", u("l\xF8st"), "lig", "els", "ig")
def stem(self, word):
"""
Stem a Danish word and return the stemmed form.
:param word: The word that is stemmed.
:type word: str or unicode
:return: The stemmed form.
:rtype: unicode
"""
# Every word is put into lower case for normalization.
word = word.lower()
# After this, the required regions are generated
# by the respective helper method.
r1 = self._r1_scandinavian(word, self.__vowels)
# Then the actual stemming process starts.
# Every new step is explicitly indicated
# according to the descriptions on the Snowball website.
# STEP 1
for suffix in self.__step1_suffixes:
if r1.endswith(suffix):
if suffix == "s":
if word[-2] in self.__s_ending:
word = word[:-1]
r1 = r1[:-1]
else:
word = word[:-len(suffix)]
r1 = r1[:-len(suffix)]
break
# STEP 2
for suffix in self.__step2_suffixes:
if r1.endswith(suffix):
word = word[:-1]
r1 = r1[:-1]
break
# STEP 3
if r1.endswith("igst"):
word = word[:-2]
r1 = r1[:-2]
for suffix in self.__step3_suffixes:
if r1.endswith(suffix):
if suffix == u("l\xF8st"):
word = word[:-1]
r1 = r1[:-1]
else:
word = word[:-len(suffix)]
r1 = r1[:-len(suffix)]
if r1.endswith(self.__step2_suffixes):
word = word[:-1]
r1 = r1[:-1]
break
# STEP 4: Undouble
for double_cons in self.__double_consonants:
if word.endswith(double_cons) and len(word) > 3:
word = word[:-1]
break
return word