We linearly combine the contextual information from different languages as: The likelihood of selecting each sense identity z ik for w i can be formulated in the form of Bernoulli distribution with a sigmoid function σ(•): where Q en is a 3-dimensional tensor with each dimension denotes W en , z ik for a specific word i in W en , and the corresponding latent variable, respectively.
q en ik will retrieve the latent variable of k-th sense of i-th English word.