Anoop Kunchukuttan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
11
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | RiddleBench: A New Generative Reasoning Benchmark for LLMs. | Deepon Halder, Alan Saji, Thanmay Jayakumar, Anoop Kunchukuttan, Ratish Puduppully, Raj Dabre |
| 2026 | EACL | The Reasoning Lingua Franca: A Double-Edged Sword for Multilingual AI. | Alan Saji, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully |
| 2025 | ACL | Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs. | Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Dilip Venkatesh, Raj Dabre, Anoop Kunchukuttan, Mitesh M. Khapra |
| 2025 | ACL | RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs. | Alan Saji, Jaavid Aktar Husain, Thanmay Jayakumar, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully |
| 2025 | ACL | Towards Building Large Scale Datasets and State-of-the-Art Automatic Speech Translation Systems for 14 Indian Languages. | Ashwin Sankar, Sparsh Jain, Nikhil Narasimhan, Devilal Choudhary, Dhairya Suman, Mohammed Safi Ur Rahman Khan, Anoop Kunchukuttan, Mitesh M. Khapra, Raj Dabre |
| 2025 | EMNLP | Data and Model Centric Approaches for Expansion of Large Language Models to New languages. | Anoop Kunchukuttan, Raj Dabre, V. Rudra Murthy, Mohammed Safi Ur Rahman Khan, Thanmay Jayakumar |
| 2025 | IJCNLP | PRALEKHA: Cross-Lingual Document Alignment for Indic Languages. | Sanjay Suryanarayanan, Haiyue Song, Mohammed Safi Ur Rahman Khan, Anoop Kunchukuttan, Raj Dabre |
| 2024 | ACL | RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization. | Jaavid Aktar Husain, Raj Dabre, Aswanth M., Jay Gala, Thanmay Jayakumar, Ratish Puduppully, Anoop Kunchukuttan |
| 2024 | ACL | IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages. | Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, Umashankar Kumaravelan, Sumanth Doddapaneni, Suriyaprasaad B, Varun Balan G, Sparsh Jain, Anoop Kunchukuttan, Pratyush Kumar, Raj Dabre, Mitesh M. Khapra |
| 2024 | ACL | How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? | Anushka Singh, Ananya Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra |
| 2024 | COLING | Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation. | Kartik, Sanjana Soni, Anoop Kunchukuttan, Tanmoy Chakraborty, Md. Shad Akhtar |
| 2024 | COMAD | A Comprehensive Analysis of Adapter Efficiency. | Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra |
| 2024 | EACL | CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages. | Kaushal Maurya, Rahul Kejriwal, Maunendra Sankar Desarkar, Anoop Kunchukuttan |
| 2023 | AAAI | IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian Languages. | Tahir Javed, Kaushal Santosh Bhogale, Abhigyan Raman, Pratyush Kumar, Anoop Kunchukuttan, Mitesh M. Khapra |
| 2023 | ACL | IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages. | Ananya B. Sai, Tanay Dixit, Vignesh Nagarajan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre |
| 2023 | ACL | Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages. | Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, Shreya Goyal, Mitesh M. Khapra, Anoop Kunchukuttan, Pratyush Kumar |
| 2023 | ACL | Bhasa-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages. | Yash Madhani, Mitesh M. Khapra, Anoop Kunchukuttan |
| 2023 | ACL | Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages. | Arnav Mhaske, Harshit Kedia, Sumanth Doddapaneni, Mitesh M. Khapra, Pratyush Kumar, V. Rudra Murthy, Anoop Kunchukuttan |
| 2023 | EMNLP | Aksharantar: Open Indic-language Transliteration datasets and models for the Next Billion Users. | Yash Madhani, Sushane Parthan, Priyanka Bedekar, Gokul NC, Ruchi Khapra, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra |
| 2023 | EMNLP | CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation. | Aswanth M., Ratish Puduppully, Raj Dabre, Anoop Kunchukuttan |
| 2023 | EMNLP | DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models. | Ratish Puduppully, Anoop Kunchukuttan, Raj Dabre, Ai Ti Aw, Nancy Chen |
| 2023 | ICASSP | Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages. | Kaushal Santosh Bhogale, Abhigyan Raman, Tahir Javed, Sumanth Doddapaneni, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra |
| 2022 | AAAI | Towards Building ASR Systems for the Next Billion Users. | Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra |
| 2022 | ACL | IndicBART: A Pre-trained Model for Indic Natural Language Generation. | Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar |
| 2022 | EMNLP | IndicXNLI: Evaluating Multilingual Inference for Indian Languages. | Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan |
| 2022 | EMNLP | IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. | Aman Kumar, Himani Shrotriya, Prachi Sahu, Amogh Mishra, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra, Pratyush Kumar |
| 2022 | NAACL | Bilingual Tabular Inference: A Case Study on Indic Languages. | Chaitanya Agarwal, Vivek Gupta, Anoop Kunchukuttan, Manish Shrivastava |
| 2021 | EACL | A Large-scale Evaluation of Neural Machine Transliteration for Indic Languages. | Anoop Kunchukuttan, Siddharth Jain, Rahul Kejriwal |
| 2020 | COLING | Multilingual Neural Machine Translation. | Raj Dabre, Chenhui Chu, Anoop Kunchukuttan |
| 2020 | EMNLP | iNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages. | Divyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, Gokul N. C., Avik Bhattacharyya, Mitesh M. Khapra, Pratyush Kumar |
| 2019 | NAACL | Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages. | V. Rudra Murthy, Anoop Kunchukuttan, Pushpak Bhattacharyya |
| 2018 | ACL | Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER. | V. Rudra Murthy, Anoop Kunchukuttan, Pushpak Bhattacharyya |
| 2018 | LREC | The IIT Bombay English-Hindi Parallel Corpus. | Anoop Kunchukuttan, Pratik Mehta, Pushpak Bhattacharyya |
| 2017 | EMNLP | Learning variable length units for SMT between related languages via Byte Pair Encoding. | Anoop Kunchukuttan, Pushpak Bhattacharyya |
| 2017 | IJCNLP | Utilizing Lexical Similarity between Related, Low-resource Languages for Pivot-based SMT. | Anoop Kunchukuttan, Maulik Shah, Pradyot Prakash, Pushpak Bhattacharyya |
| 2016 | CoNLL | Substring-based unsupervised transliteration with phonetic and contextual knowledge. | Anoop Kunchukuttan, Pushpak Bhattacharyya, Mitesh M. Khapra |
| 2016 | EMNLP | Orthographic Syllable as basic unit for SMT between Related Languages. | Anoop Kunchukuttan, Pushpak Bhattacharyya |
| 2016 | NAACL | Statistical Machine Translation between Related Languages. | Pushpak Bhattacharyya, Mitesh M. Khapra, Anoop Kunchukuttan |
| 2015 | NAACL | Brahmi-Net: A transliteration and script conversion system for languages of the Indian subcontinent. | Anoop Kunchukuttan, Ratish Puduppully, Pushpak Bhattacharyya |
| 2014 | CoNLL | Tuning a Grammar Correction System for Increased Precision. | Anoop Kunchukuttan, Sriram Chaudhury, Pushpak Bhattacharyya |
| 2014 | LREC | When Transliteration Met Crowdsourcing : An Empirical Study of Transliteration via Crowdsourcing using Efficient, Non-redundant and Fair Quality Control. | Mitesh M. Khapra, Ananthakrishnan Ramanathan, Anoop Kunchukuttan, Karthik Visweswariah, Pushpak Bhattacharyya |
| 2014 | LREC | Shata-Anuvadak: Tackling Multiway Translation of Indian Languages. | Anoop Kunchukuttan, Abhijit Mishra, Rajen Chatterjee, Ritesh M. Shah, Pushpak Bhattacharyya |
| 2013 | ACL | TransDoop: A Map-Reduce based Crowdsourced Translation for Complex Domain. | Anoop Kunchukuttan, Rajen Chatterjee, Shourya Roy, Abhijit Mishra, Pushpak Bhattacharyya |
| 2013 | CoNLL | IITB System for CoNLL 2013 Shared Task: A Hybrid Approach to Grammatical Error Correction. | Anoop Kunchukuttan, Ritesh M. Shah, Pushpak Bhattacharyya |
| 2012 | COLING | Partially modelling word reordering as a sequence labelling problem. | Anoop Kunchukuttan, Pushpak Bhattacharyya |
| 2012 | LREC | Experiences in Resource Generation for Machine Translation through Crowdsourcing. | Anoop Kunchukuttan, Shourya Roy, Pratik Patel, Kushal Ladha, Somya Gupta, Mitesh M. Khapra, Pushpak Bhattacharyya |