  Word embeddings, which often represent such analogic relations as king - man
+ woman = queen, can be used to change a word's attribute, including its
gender. For transferring king into queen in this analogy-based manner, we
subtract a difference vector man - woman based on the knowledge that king is
male. However, developing such knowledge is very costly for words and
attributes. In this work, we propose a novel method for word attribute transfer
based on reflection mappings without such an analogy operation. Experimental
results show that our proposed method can transfer the word attributes of the
given words without changing the words that do not have the target attributes.
