Before revision:  By exploiting a relatively large monolingual corpus of the target programming language, which is cheap to mine from the web, unlike a parallel corpus, we achieved 80.75 \% exact match accuracy on Django and 32.57 BLEU score on CoNaLa , both are SOTA to the best of our knowledge.
After revision:  By exploiting a relatively sizeable monolingual corpus of the target programming language, which is cheap to mine from the web, unlike a parallel corpus, we achieved 80.75 \% exact match accuracy on Django and 32.57 BLEU score on CoNaLa , both are SOTA to the best of our knowledge.