For instance, if embedding of a word 'अ छा|achcha' is unknown we translate it in English as 'good', and use its word embeddings in place of the source word 'अ छा|achcha'.
in the first architecture (A1, Figure 2a), we concatenate extracted features of each word of an instance with the corre- sponding word representations and pass it through a LSTM network followed by dense and output layers.