def sim_lch(self, other):
if not isinstance(other, Synset):<EOL><INDENT>return <NUM_LIT:0.><EOL><DEDENT>if self.category != other.category:<EOL><INDENT>return <NUM_LIT:0.><EOL><DEDENT>path_length = self.shortest_path_length(other)<EOL>if path_length is None:<EOL><INDENT>return <NUM_LIT:0.><EOL><DEDENT>return -math.log(<EOL>(path_length + <NUM_LIT:1>) /<EOL>(<NUM_LIT> * self._germanet.max_min_depths[self.category]))<EOL>
Computes the Leacock-Chodorow similarity score between this synset
and the synset ``other``.

Arguments:
- `other`: