Is neural machine translation approach accurate enough for coding assistance?
Yuka Akinobu, Momoka Obara, Teruno Kajiura, Shiho Takano, Miyu Tamura, Mayu Tomioka, Kimio Kuramitsu · 2021
Coding assistance with deep learning is an emerging concern that has recently attracted much attention in the software development community. To integrate coding assistance with deep learning compactly, we focus on neural machine translation (NMT), which allows users to translate natural language descriptions into expressions in a programming language such as Python. A rising problem here is the limited availability of parallel corpora, which is essential to train better NMT models.