Gated Convolutional Sequence to Sequence Based Learning for English-Hingilsh Code-Switched Machine Translation.
Suman Dowlagar, Radhika Mamidi · 2021
Code-Switching is the embedding of linguistic units or phrases from two or more languages in a single sentence.This phenomenon is practiced in all multilingual communities and is prominent in social media.Consequently, there is a growing need to understand codeswitched translations by translating the codeswitched text into one of the standard languages or vice versa.Neural Machine translation is a well-studied research problem in the monolingual text.In this paper, we have used the gated convolutional sequences to sequence networks for English-Hinglish translation.The convolutions in the model help to identify the compositional structure in the sequences more easily.The model relies on gating and performs multiple attention steps at encoder and decoder layers.