Journal pre-prints:

  1. Saurav Jha, Akhilesh Sudhakar, and Anil Kumar Singh. Multi-Task Deep Morphological Analyzer: Context-Aware Joint Morphological Tagging and Lemma Prediction. In-review, Natural Language Engineering. [Paper][Code]
  2. Saurav Jha, Akhilesh Sudhakar, and Anil Kumar Singh. Learning cross-lingual phonological and orthographic adaptations: a case study in improving neural machine translation between low-resource languages. In-press, Journal of Language Modelling. [Paper][Code]

B. Tech. Thesis:

  • Saurav Jha, Nikhil Agarwal, and Suneeta Agarwal. Bringing Cartoons to Life: Towards Improved Cartoon Face Detection and Recognition Systems. Accepted Paper ID: 155, 1st International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2019). [Paper][Code]

Refereed Conference papers:

  1. Saurav Jha, Aanchal Chaurasia, Akhilesh Sudhakar, and Anil Kumar Singh. Reference Scope Identification for Citances using Convolutional Neural Networks. Proceedings of the 14th International Conference on Natural Language Processing (ICON 2017). Kolkata, India. December 2017. [Paper][Code]
  2. Vijay Prakash Dwivedi, Deepak Kumar Singh, Saurav Jha, and Ranvijay. Gender Classification of Blog Authors: With Feature Engineering and Deep Learning using LSTM Networks. 2017 Ninth International Conference on Advanced Computing (ICoAC), 142-148. [Paper][Code]