mirror of https://github.com/explosion/spaCy.git
86 lines
3.4 KiB
Python
86 lines
3.4 KiB
Python
from typing import Optional, List, Dict
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from ...lemmatizer import Lemmatizer
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from ...parts_of_speech import NAMES
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class PolishLemmatizer(Lemmatizer):
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# This lemmatizer implements lookup lemmatization based on the Morfeusz
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# dictionary (morfeusz.sgjp.pl/en) by Institute of Computer Science PAS.
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# It utilizes some prefix based improvements for verb and adjectives
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# lemmatization, as well as case-sensitive lemmatization for nouns.
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def __call__(
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self, string: str, univ_pos: str, morphology: Optional[dict] = None
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) -> List[str]:
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if isinstance(univ_pos, int):
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univ_pos = NAMES.get(univ_pos, "X")
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univ_pos = univ_pos.upper()
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lookup_pos = univ_pos.lower()
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if univ_pos == "PROPN":
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lookup_pos = "noun"
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lookup_table = self.lookups.get_table("lemma_lookup_" + lookup_pos, {})
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if univ_pos == "NOUN":
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return self.lemmatize_noun(string, morphology, lookup_table)
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if univ_pos != "PROPN":
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string = string.lower()
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if univ_pos == "ADJ":
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return self.lemmatize_adj(string, morphology, lookup_table)
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elif univ_pos == "VERB":
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return self.lemmatize_verb(string, morphology, lookup_table)
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return [lookup_table.get(string, string.lower())]
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def lemmatize_adj(
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self, string: str, morphology: dict, lookup_table: Dict[str, str]
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) -> List[str]:
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# this method utilizes different procedures for adjectives
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# with 'nie' and 'naj' prefixes
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if string[:3] == "nie":
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search_string = string[3:]
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if search_string[:3] == "naj":
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naj_search_string = search_string[3:]
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if naj_search_string in lookup_table:
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return [lookup_table[naj_search_string]]
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if search_string in lookup_table:
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return [lookup_table[search_string]]
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if string[:3] == "naj":
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naj_search_string = string[3:]
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if naj_search_string in lookup_table:
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return [lookup_table[naj_search_string]]
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return [lookup_table.get(string, string)]
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def lemmatize_verb(
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self, string: str, morphology: dict, lookup_table: Dict[str, str]
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) -> List[str]:
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# this method utilizes a different procedure for verbs
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# with 'nie' prefix
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if string[:3] == "nie":
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search_string = string[3:]
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if search_string in lookup_table:
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return [lookup_table[search_string]]
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return [lookup_table.get(string, string)]
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def lemmatize_noun(
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self, string: str, morphology: dict, lookup_table: Dict[str, str]
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) -> List[str]:
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# this method is case-sensitive, in order to work
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# for incorrectly tagged proper names
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if string != string.lower():
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if string.lower() in lookup_table:
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return [lookup_table[string.lower()]]
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elif string in lookup_table:
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return [lookup_table[string]]
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return [string.lower()]
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return [lookup_table.get(string, string)]
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def lookup(self, string: str, orth: Optional[int] = None) -> str:
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return string.lower()
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def lemmatize(
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self,
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string: str,
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index: Dict[str, List[str]],
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exceptions: Dict[str, Dict[str, List[str]]],
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rules: Dict[str, List[List[str]]],
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) -> List[str]:
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raise NotImplementedError
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