no code implementations • WS 2017 • Hanumant Redkar, S. Singh, hya, Meenakshi Somasundaram, Dhara Gorasia, Malhar Kulkarni, Pushpak Bhattacharyya
In today{'}s technology driven digital era, education domain is undergoing a transformation from traditional approaches to more learner controlled and flexible methods of learning.
no code implementations • WS 2017 • S. Singh, hya, Ritesh Panjwani, Anoop Kunchukuttan, Pushpak Bhattacharyya
In this paper, we empirically compare the two encoder-decoder neural machine translation architectures: convolutional sequence to sequence model (ConvS2S) and recurrent sequence to sequence model (RNNS2S) for English-Hindi language pair as part of IIT Bombay{'}s submission to WAT2017 shared task.
no code implementations • WS 2016 • S. Singh, hya, Anoop Kunchukuttan, Pushpak Bhattacharyya
The Neural Probabilistic Language Model (NPLM) gave relatively high BLEU points for Indonesian to English translation system while the Neural Network Joint Model (NNJM) performed better for English to Indonesian direction of translation system.