code: def is_particle(
      token: Token,
      pos: Tuple[str] = ("PART",),
      deps: Tuple[str] = ("prt",),
  ) -> bool:
      """Determine whether a word is a particle, for phrasal verb detection.
  
      token (Token): The token to check.
      pos (tuple): The universal POS tags to check (Token.pos_).
      deps (tuple): The dependency labels to check (Token.dep_).
      """
      return token.pos_ in pos or token.dep_ in deps
  
file_path: sense2vec/sense2vec/util.py
imports: from typing import Union, List, Tuple, Set
  import re
  from spacy.tokens import Doc, Token, Span
  from spacy.util import filter_spans
  from thinc.api import get_array_module
  import catalogue
label_desc: Use image node_id 7 for calling a global function with example usage: is_particle(token, pos, deps) and returns: unknown