IITP-MT at CALCS2021: English to Hinglish Neural Machine Translation using Unsupervised Synthetic Code-Mixed Parallel Corpus. - Ramakrishna Appicharla; Kamal Kumar Gupta; Asif Ekbal; Pushpak Bhattacharyya (CALCS@NAACL, 2021)

IITP-MT at WAT2021: Indic-English Multilingual Neural Machine Translation using Romanized Vocabulary. - Ramakrishna Appicharla; Kamal Kumar Gupta; Asif Ekbal; Pushpak Bhattacharyya (WAT@ACL/IJCNLP, 2021)

EduMT: Developing Machine Translation System for Educational Content in Indian Languages. - Ramakrishna Appicharla; Asif Ekbal; Pushpak Bhattacharyya (ICON, 2021)

Low Resource Chat Translation: A Benchmark for Hindi-English Language Pair. - Baban Gain; Ramakrishna Appicharla; Asif Ekbal; Muthusamy Chelliah; Soumya Chennabasavraj; Nikesh Garera (AMTA, 2022)

Investigating Effectiveness of Multi-Encoder for Conversational Neural Machine Translation. - Baban Gain; Ramakrishna Appicharla; Soumya Chennabasavaraj; Nikesh Garera; Asif Ekbal; Muthusamy Chelliah (WMT, 2022)

Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards. - Baban Gain; Ramakrishna Appicharla; Soumya Chennabasavaraj; Nikesh Garera; Asif Ekbal; Muthusamy Chelliah (EMNLP (Findings), 2023)

Overview of MTIL Track at FIRE 2023: Machine Translation for Indian Languages. - Surupendu Gangopadhyay; Ganesh Epili; Prasenjit Majumder; Baban Gain; Ramakrishna Appicharla; Asif Ekbal; Arafat Ahsan; Dipti Misra Sharma (FIRE, 2023)

A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation. - Ramakrishna Appicharla; Baban Gain; Santanu Pal; Asif Ekbal (CoRR, 2023)

A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning. - Ramakrishna Appicharla; Baban Gain; Santanu Pal; Asif Ekbal; Pushpak Bhattacharyya (EAMT (1), 2024)

Improving Neural Machine Translation Through Code-Mixed Data Augmentation. - Ramakrishna Appicharla; Kamal Kumar Gupta; Asif Ekbal; Pushpak Bhattacharyya (Comput. Intell., 2025)

Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Models. - Ramakrishna Appicharla; Baban Gain; Santanu Pal; Asif Ekbal (CoRR, 2025)