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5ac8480 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 | from dataclasses import dataclass
from typing import List, Union
from dataclasses import astuple, dataclass
import pandas as pd
from camel_tools.disambig.bert import BERTUnfactoredDisambiguator
from camel_tools.disambig.mle import MLEDisambiguator
from camel_tools.utils.charmap import CharMapper
def get_conll_tree_header_list():
return ["ID", "FORM", "LEMMA", "UPOS", "XPOS", "FEATS", "HEAD", "DEPREL", "DEPS", "MISC"]
@dataclass
class ConllParams:
file_path: str
parse_model_path: str
def __iter__(self):
return iter(astuple(self))
@dataclass
class TextParams:
lines: List[str]
parse_model_path: str
arclean: CharMapper
disambiguator_param: Union[BERTUnfactoredDisambiguator, MLEDisambiguator, str]
clitic_feats_df: pd.DataFrame
tagset: str
morphology_db_type: str
def __iter__(self):
return iter(astuple(self))
@dataclass
class PreprocessedTextParams:
lines: List[str]
parse_model_path: str
disambiguator: Union[BERTUnfactoredDisambiguator, MLEDisambiguator, str]
clitic_feats_df: pd.DataFrame
tagset: str
morphology_db_type: str
def __iter__(self):
return iter(astuple(self))
@dataclass
class TokenizedParams:
lines: List[str]
parse_model_path: str
@dataclass
class TokenizedTaggedParams:
lines: List[str]
parse_model_path: str
@dataclass
class Token:
ID: int = -1
FORM: str = '_'
LEMMA: str = '_'
UPOS: str = '_'
XPOS: str = '_'
FEATS: str = '_'
HEAD: int = 0
DEPREL: str = '_'
DEPS: str = '_'
MISC: str = '_'
def to_conll_row(self):
col_vals = [str(getattr(self, key)) for key in self.__dataclass_fields__.keys()]
return '\t'.join(col_vals) |