  Mirroring is the behavior in which one person subconsciously imitates the
gesture, speech pattern, or attitude of another. In conversations, mirroring
often signals the speakers enjoyment and engagement in their communication. In
chatbots, methods have been proposed to add personas to the chatbots and to
train them to speak or to shift their dialogue style to that of the personas.
However, they often require a large dataset consisting of dialogues of the
target personalities to train. In this work, we explore a method that can learn
to mirror the speaking styles of a person incrementally. Our method extracts
ngrams that capture a persons speaking styles and uses the ngrams to create
patterns for transforming sentences to the persons speaking styles. Our
experiments show that our method is able to capture patterns of speaking style
that can be used to transform regular sentences into sentences with the target
style.
