opennmt/data/noise.py
def _apply(self, words):
        """Applies noise on a sequence of words.

        Args:
          words: A 2D string ``tf.Tensor`` where each row represents a word that
            possibly contains multiple tokens.

        Returns:
          A noisy version of :obj:`words`.
        """
        raise NotImplementedError()
Applies noise on a sequence of words.

        Args:
          words: A 2D string ``tf.Tensor`` where each row represents a word that
            possibly contains multiple tokens.

        Returns:
          A noisy version of :obj:`words`.
        
Applies noise on a sequence of words.
Applies noise on a sequence of words .
def _apply(self, words):
        raise NotImplementedError()
def _apply ( self , words ) : raise NotImplementedError ( )
Applies noise on a sequence of words.
Applies noise on a sequence of words .
"""Applies noise on a sequence of words.

        Args:
          words: A 2D string ``tf.Tensor`` where each row represents a word that
            possibly contains multiple tokens.

        Returns:
          A noisy version of :obj:`words`.
        """
A noisy version of :obj:`words`.
A noisy version of : obj : ` words ` .
self
words
A 2D string ``tf.Tensor`` where each row represents a word that
possibly contains multiple tokens.
A 2D string ` ` tf . Tensor ` ` where each row represents a word that possibly contains multiple tokens .