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2020 – today
- 2024
[c59]Anushka Singh, Ananya Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra:
How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? ACL (Short Papers) 2024: 640-649- [c58]Jaavid Aktar Husain, Raj Dabre, Aswanth M., Jay Gala, Thanmay Jayakumar, Ratish Puduppully, Anoop Kunchukuttan:
RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization. ACL (1) 2024: 15593-15615 - [c57]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:
IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages. ACL (1) 2024: 15831-15879 - [c56]Kartik, Sanjana Soni, Anoop Kunchukuttan, Tanmoy Chakraborty, Md. Shad Akhtar:
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation. LREC/COLING 2024: 15480-15492 - [c55]Nandini Mundra
, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra:
A Comprehensive Analysis of Adapter Efficiency. COMAD/CODS 2024: 136-154 - [c54]Kaushal Maurya, Rahul Kejriwal, Maunendra Sankar Desarkar, Anoop Kunchukuttan:
CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages. EACL (2) 2024: 294-310 - [c53]Raj Dabre, Anoop Kunchukuttan:
Findings of WMT 2024's MultiIndic22MT Shared Task for Machine Translation of 22 Indian Languages. WMT 2024: 669-676 - [i42]Jaavid Aktar Husain, Raj Dabre, Aswanth Kumar, Ratish Puduppully, Anoop Kunchukuttan:
RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models models via Romanization. CoRR abs/2401.14280 (2024) - [i41]Jay P. Gala, Thanmay Jayakumar, Jaavid Aktar Husain, Aswanth Kumar M., Mohammed Safi Ur Rahman Khan, Diptesh Kanojia, Ratish Puduppully, Mitesh M. Khapra, Raj Dabre, V. Rudra Murthy, Anoop Kunchukuttan:
Airavata: Introducing Hindi Instruction-tuned LLM. CoRR abs/2401.15006 (2024) - [i40]Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, Umashankar Kumaravelan, Sumanth Doddapaneni, Suriyaprasaad G, Varun Balan G, Sparsh Jain, Anoop Kunchukuttan, Pratyush Kumar, Raj Dabre, Mitesh M. Khapra:
IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages. CoRR abs/2403.06350 (2024) - [i39]Kartik, Sanjana Soni, Anoop Kunchukuttan, Tanmoy Chakraborty, Md. Shad Akhtar:
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation. CoRR abs/2403.16771 (2024) - [i38]Anushka Singh, Ananya B. Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra:
How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? CoRR abs/2406.03893 (2024) - [i37]Nandini Mundra, Aditya Nanda Kishore, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra:
An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models. CoRR abs/2407.05841 (2024) - [i36]Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Dilip Venkatesh, Raj Dabre, Anoop Kunchukuttan, Mitesh M. Khapra:
Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs. CoRR abs/2410.13394 (2024) - [i35]Sparsh Jain, Ashwin Sankar, Devilal Choudhary, Dhairya Suman, Nikhil Narasimhan, Mohammed Safi Ur Rahman Khan, Anoop Kunchukuttan, Mitesh M. Khapra, Raj Dabre:
BhasaAnuvaad: A Speech Translation Dataset for 13 Indian Languages. CoRR abs/2411.04699 (2024) - [i34]Sanjay Suryanarayanan, Haiyue Song, Mohammed Safi Ur Rahman Khan, Anoop Kunchukuttan, Mitesh M. Khapra, Raj Dabre:
Pralekha: An Indic Document Alignment Evaluation Benchmark. CoRR abs/2411.19096 (2024) - 2023
- [j5]Jay P. Gala, Pranjal A. Chitale, Raghavan AK, Varun Gumma, Sumanth Doddapaneni, Aswanth Kumar M., Janki Atul Nawale, Anupama Sujatha, Ratish Puduppully, Vivek Raghavan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre, Anoop Kunchukuttan:
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages. Trans. Mach. Learn. Res. 2023 (2023) - [c52]Tahir Javed, Kaushal Santosh Bhogale, Abhigyan Raman, Pratyush Kumar, Anoop Kunchukuttan, Mitesh M. Khapra:
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian Languages. AAAI 2023: 12942-12950 - [c51]Yash Madhani, Mitesh M. Khapra, Anoop Kunchukuttan:
Bhasa-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages. ACL (2) 2023: 816-826 - [c50]Arnav Mhaske, Harshit Kedia, Sumanth Doddapaneni, Mitesh M. Khapra, Pratyush Kumar, V. Rudra Murthy, Anoop Kunchukuttan:
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages. ACL (1) 2023: 10441-10456 - [c49]Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, Shreya Goyal, Mitesh M. Khapra, Anoop Kunchukuttan, Pratyush Kumar:
Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages. ACL (1) 2023: 12402-12426 - [c48]Ananya B. Sai, Tanay Dixit, Vignesh Nagarajan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre:
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages. ACL (1) 2023: 14210-14228 - [c47]Yash Madhani, Sushane Parthan, Priyanka Bedekar, Gokul NC, Ruchi Khapra, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Aksharantar: Open Indic-language Transliteration datasets and models for the Next Billion Users. EMNLP (Findings) 2023: 40-57 - [c46]Ratish Puduppully, Anoop Kunchukuttan, Raj Dabre, Ai Ti Aw, Nancy Chen:
DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models. EMNLP 2023: 4586-4602 - [c45]Aswanth M., Ratish Puduppully, Raj Dabre, Anoop Kunchukuttan:
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation. EMNLP (Findings) 2023: 7736-7752 - [c44]Kaushal Santosh Bhogale, Abhigyan Raman, Tahir Javed, Sumanth Doddapaneni, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages. ICASSP 2023: 1-5 - [i33]Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan:
Evaluating Inter-Bilingual Semantic Parsing for Indian Languages. CoRR abs/2304.13005 (2023) - [i32]Kaushal Kumar Maurya, Rahul Kejriwal, Maunendra Sankar Desarkar, Anoop Kunchukuttan:
Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages. CoRR abs/2305.05214 (2023) - [i31]Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra:
A Comprehensive Analysis of Adapter Efficiency. CoRR abs/2305.07491 (2023) - [i30]Aswanth Kumar, Anoop Kunchukuttan, Ratish Puduppully, Raj Dabre:
In-context Example Selection for Machine Translation Using Multiple Features. CoRR abs/2305.14105 (2023) - [i29]Yash Madhani, Mitesh M. Khapra, Anoop Kunchukuttan:
Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages. CoRR abs/2305.15814 (2023) - [i28]Jay P. Gala, Pranjal A. Chitale, Raghavan AK, Sumanth Doddapaneni, Varun Gumma, Aswanth Kumar, Janki Nawale, Anupama Sujatha, Ratish Puduppully, Vivek Raghavan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre, Anoop Kunchukuttan:
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages. CoRR abs/2305.16307 (2023) - 2022
- [j4]Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, Mayank Jobanputra, Raghavan AK, Ajitesh Sharma, Sujit Sahoo, Harshita Diddee, Mahalakshmi J, Divyanshu Kakwani, Navneet Kumar, Aswin Pradeep, Srihari Nagaraj, Deepak Kumar, Vivek Raghavan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh Shantadevi Khapra:
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages. Trans. Assoc. Comput. Linguistics 10: 145-162 (2022) - [c43]Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Towards Building ASR Systems for the Next Billion Users. AAAI 2022: 10813-10821 - [c42]Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar:
IndicBART: A Pre-trained Model for Indic Natural Language Generation. ACL (Findings) 2022: 1849-1863 - [c41]Toshiaki Nakazawa, Hideya Mino, Isao Goto, Raj Dabre, Shohei Higashiyama, Shantipriya Parida, Anoop Kunchukuttan, Makoto Morishita, Ondrej Bojar, Chenhui Chu, Akiko Eriguchi, Kaori Abe, Yusuke Oda, Sadao Kurohashi:
Overview of the 9th Workshop on Asian Translation. WAT@COLING 2022: 1-36 - [c40]Aman Kumar, Himani Shrotriya, Prachi Sahu, Amogh Mishra, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra, Pratyush Kumar:
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. EMNLP 2022: 5363-5394 - [c39]Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan:
IndicXNLI: Evaluating Multilingual Inference for Indian Languages. EMNLP 2022: 10994-11006 - [c38]Chaitanya Agarwal, Vivek Gupta, Anoop Kunchukuttan, Manish Shrivastava:
Bilingual Tabular Inference: A Case Study on Indic Languages. NAACL-HLT 2022: 4018-4037 - [i27]Aman Kumar, Himani Shrotriya, Prachi Sahu, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Amogh Mishra, Mitesh M. Khapra, Pratyush Kumar:
IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. CoRR abs/2203.05437 (2022) - [i26]Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan:
IndicXNLI: Evaluating Multilingual Inference for Indian Languages. CoRR abs/2204.08776 (2022) - [i25]Yash Madhani, Sushane Parthan, Priyanka Bedekar, Ruchi Khapra, Vivek Seshadri, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Aksharantar: Towards building open transliteration tools for the next billion users. CoRR abs/2205.03018 (2022) - [i24]Tahir Javed, Kaushal Santosh Bhogale, Abhigyan Raman, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages. CoRR abs/2208.11761 (2022) - [i23]Kaushal Santosh Bhogale, Abhigyan Raman, Tahir Javed, Sumanth Doddapaneni, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages. CoRR abs/2208.12666 (2022) - [i22]Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, Shreya Goyal, Mitesh M. Khapra, Anoop Kunchukuttan, Pratyush Kumar:
IndicXTREME: A Multi-Task Benchmark For Evaluating Indic Languages. CoRR abs/2212.05409 (2022) - [i21]Arnav Mhaske, Harshit Kedia, Sumanth Doddapaneni, Mitesh M. Khapra, Pratyush Kumar, V. Rudra Murthy, Anoop Kunchukuttan:
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages. CoRR abs/2212.10168 (2022) - [i20]Ananya B. Sai, Vignesh Nagarajan, Tanay Dixit, Raj Dabre, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation metrics for Indian Languages. CoRR abs/2212.10180 (2022) - 2021
- [j3]Raj Dabre, Chenhui Chu, Anoop Kunchukuttan:
A Survey of Multilingual Neural Machine Translation. ACM Comput. Surv. 53(5): 99:1-99:38 (2021) - [c37]Toshiaki Nakazawa, Hideki Nakayama, Chenchen Ding, Raj Dabre, Shohei Higashiyama, Hideya Mino, Isao Goto, Win Pa Pa, Anoop Kunchukuttan, Shantipriya Parida, Ondrej Bojar, Chenhui Chu, Akiko Eriguchi, Kaori Abe, Yusuke Oda, Sadao Kurohashi:
Overview of the 8th Workshop on Asian Translation. WAT@ACL/IJCNLP 2021: 1-45 - [c36]Rahul Aralikatte, Miryam de Lhoneux, Anoop Kunchukuttan, Anders Søgaard:
Itihasa: A large-scale corpus for Sanskrit to English translation. WAT@ACL/IJCNLP 2021: 191-197 - [c35]Anoop Kunchukuttan, Siddharth Jain, Rahul Kejriwal:
A Large-scale Evaluation of Neural Machine Transliteration for Indic Languages. EACL 2021: 3469-3475 - [e3]Toshiaki Nakazawa, Hideki Nakayama, Isao Goto, Hideya Mino, Chenchen Ding, Raj Dabre, Anoop Kunchukuttan, Shohei Higashiyama, Hiroshi Manabe, Win Pa Pa, Shantipriya Parida, Ondrej Bojar, Chenhui Chu, Akiko Eriguchi, Kaori Abe, Yusuke Oda, Katsuhito Sudoh, Sadao Kurohashi, Pushpak Bhattacharyya:
Proceedings of the 8th Workshop on Asian Translation, WAT@ACL/IJCNLP 2021, Online, August 5-6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-63-3 [contents] - [i19]Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, Mayank Jobanputra, Raghavan AK, Ajitesh Sharma, Sujit Sahoo, Harshita Diddee, Mahalakshmi J, Divyanshu Kakwani, Navneet Kumar, Aswin Pradeep, Deepak Kumar, Vivek Raghavan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh Shantadevi Khapra:
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages. CoRR abs/2104.05596 (2021) - [i18]Rahul Aralikatte, Miryam de Lhoneux, Anoop Kunchukuttan, Anders Søgaard:
Itihasa: A large-scale corpus for Sanskrit to English translation. CoRR abs/2106.03269 (2021) - [i17]Sumanth Doddapaneni, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
A Primer on Pretrained Multilingual Language Models. CoRR abs/2107.00676 (2021) - [i16]Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar:
IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages. CoRR abs/2109.02903 (2021) - [i15]Anoop Kunchukuttan:
An Empirical Investigation of Multi-bridge Multilingual NMT models. CoRR abs/2110.07304 (2021) - [i14]Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Towards Building ASR Systems for the Next Billion Users. CoRR abs/2111.03945 (2021) - 2020
- [c34]Toshiaki Nakazawa, Hideki Nakayama, Chenchen Ding, Raj Dabre, Shohei Higashiyama, Hideya Mino, Isao Goto, Win Pa Pa, Anoop Kunchukuttan, Shantipriya Parida, Ondrej Bojar, Sadao Kurohashi:
Overview of the 7th Workshop on Asian Translation. WAT@AAC/IJCNLPL 2020: 1-44 - [c33]Raj Dabre, Chenhui Chu, Anoop Kunchukuttan:
Multilingual Neural Machine Translation. COLING (Tutorial) 2020: 16-21 - [c32]Divyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, Gokul N. C., Avik Bhattacharyya, Mitesh M. Khapra, Pratyush Kumar:
iNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages. EMNLP (Findings) 2020: 4948-4961 - [c31]Pratik Jawanpuria, N. T. V. Satya Dev, Anoop Kunchukuttan, Bamdev Mishra:
Learning Geometric Word Meta-Embeddings. RepL4NLP@ACL 2020: 39-44 - [c30]Vikrant Goyal, Anoop Kunchukuttan, Rahul Kejriwal, Siddharth Jain, Amit Bhagwat:
Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20. WMT@EMNLP 2020: 202-206 - [e2]Toshiaki Nakazawa, Hideki Nakayama, Chenchen Ding, Raj Dabre, Anoop Kunchukuttan, Win Pa Pa, Ondrej Bojar, Shantipriya Parida, Isao Goto, Hidaya Mino, Hiroshi Manabe, Katsuhito Sudoh, Sadao Kurohashi, Pushpak Bhattacharyya:
Proceedings of the 7th Workshop on Asian Translation, WAT@AACL/IJCNLP 2020, Suzhou, China, December 4, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-95-8 [contents] - [i13]Raj Dabre, Chenhui Chu, Anoop Kunchukuttan:
A Comprehensive Survey of Multilingual Neural Machine Translation. CoRR abs/2001.01115 (2020) - [i12]Anoop Kunchukuttan, Pushpak Bhattacharyya:
Utilizing Language Relatedness to improve Machine Translation: A Case Study on Languages of the Indian Subcontinent. CoRR abs/2003.08925 (2020) - [i11]Pratik Jawanpuria, N. T. V. Satya Dev, Anoop Kunchukuttan, Bamdev Mishra:
Learning Geometric Word Meta-Embeddings. CoRR abs/2004.09219 (2020) - [i10]Anoop Kunchukuttan, Divyanshu Kakwani, Satish Golla, Gokul N. C., Avik Bhattacharyya, Mitesh M. Khapra, Pratyush Kumar:
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages. CoRR abs/2005.00085 (2020)
2010 – 2019
- 2019
- [j2]Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra:
Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach. Trans. Assoc. Comput. Linguistics 7: 107-120 (2019) - [c29]Toshiaki Nakazawa, Nobushige Doi, Shohei Higashiyama, Chenchen Ding, Raj Dabre, Hideya Mino, Isao Goto, Win Pa Pa, Anoop Kunchukuttan, Shantipriya Parida, Ondrej Bojar, Sadao Kurohashi:
Overview of the 6th Workshop on Asian Translation. WAT@EMNLP-IJCNLP 2019: 1-35 - [c28]V. Rudra Murthy, Anoop Kunchukuttan, Pushpak Bhattacharyya:
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages. NAACL-HLT (1) 2019: 3868-3873 - [e1]Toshiaki Nakazawa, Chenchen Ding, Raj Dabre, Anoop Kunchukuttan, Nobushige Doi, Yusuke Oda, Ondrej Bojar, Shantipriya Parida, Isao Goto, Hidaya Mino:
Proceedings of the 6th Workshop on Asian Translation, WAT@EMNLP-IJCNLP 2019, Hong Kong, China, November 4, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-87-1 [contents] - [i9]Raj Dabre, Chenhui Chu, Anoop Kunchukuttan:
A Survey of Multilingual Neural Machine Translation. CoRR abs/1905.05395 (2019) - 2018
- [j1]Anoop Kunchukuttan, Mitesh M. Khapra, Gurneet Singh, Pushpak Bhattacharyya:
Leveraging Orthographic Similarity for Multilingual Neural Transliteration. Trans. Assoc. Comput. Linguistics 6: 303-316 (2018) - [c27]V. Rudra Murthy, Anoop Kunchukuttan, Pushpak Bhattacharyya:
Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER. ACL (2) 2018: 401-406 - [c26]Tamali Banerjee, Anoop Kunchukuttan, Pushpak Bhattacharya:
Multilingual Indian Language Translation System at WAT 2018: Many-to-one Phrase-based SMT. WAT@PACLIC 2018 - [c25]Raj Dabre, Anoop Kunchukuttan, Atsushi Fujita, Eiichiro Sumita:
NICT's Participation in WAT 2018: Approaches Using Multilingualism and Recurrently Stacked Layers. WAT@PACLIC 2018 - [c24]Toshiaki Nakazawa, Katsuhito Sudoh, Shohei Higashiyama, Chenchen Ding, Raj Dabre, Hideya Mino, Isao Goto, Win Pa Pa, Anoop Kunchukuttan, Sadao Kurohashi:
Overview of the 5th Workshop on Asian Translation. WAT@PACLIC 2018 - [c23]Anoop Kunchukuttan, Pratik Mehta, Pushpak Bhattacharyya:
The IIT Bombay English-Hindi Parallel Corpus. LREC 2018 - [i8]Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra:
Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach. CoRR abs/1808.08773 (2018) - [i7]Mayank Meghwanshi, Pratik Jawanpuria, Anoop Kunchukuttan, Hiroyuki Kasai, Bamdev Mishra:
McTorch, a manifold optimization library for deep learning. CoRR abs/1810.01811 (2018) - [i6]V. Rudra Murthy, Anoop Kunchukuttan, Pushpak Bhattacharyya:
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages. CoRR abs/1811.00383 (2018) - 2017
- [c22]Sandhya Singh, Ritesh Panjwani, Anoop Kunchukuttan, Pushpak Bhattacharyya:
Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation. WAT@IJCNLP 2017: 167-170 - [c21]Anoop Kunchukuttan, Pushpak Bhattacharyya:
Learning variable length units for SMT between related languages via Byte Pair Encoding. SWCN@EMNLP 2017: 14-24 - [c20]Anoop Kunchukuttan, Maulik Shah, Pradyot Prakash, Pushpak Bhattacharyya:
Utilizing Lexical Similarity between Related, Low-resource Languages for Pivot-based SMT. IJCNLP(2) 2017: 283-289 - [i5]Anoop Kunchukuttan, Maulik Shah, Pradyot Prakash, Pushpak Bhattacharyya:
Utilizing Lexical Similarity for pivot translation involving resource-poor, related languages. CoRR abs/1702.07203 (2017) - [i4]Anoop Kunchukuttan, Pratik Mehta, Pushpak Bhattacharyya:
The IIT Bombay English-Hindi Parallel Corpus. CoRR abs/1710.02855 (2017) - 2016
- [c19]Sandhya Singh, Anoop Kunchukuttan, Pushpak Bhattacharyya:
IIT Bombay's English-Indonesian submission at WAT: Integrating Neural Language Models with SMT. WAT@COLING 2016: 68-74 - [c18]Anoop Kunchukuttan, Pushpak Bhattacharyya, Mitesh M. Khapra:
Substring-based unsupervised transliteration with phonetic and contextual knowledge. CoNLL 2016: 270-279 - [c17]Anoop Kunchukuttan, Pushpak Bhattacharyya:
Orthographic Syllable as basic unit for SMT between Related Languages. EMNLP 2016: 1912-1917 - [c16]Pushpak Bhattacharyya, Mitesh M. Khapra, Anoop Kunchukuttan:
Statistical Machine Translation between Related Languages. HLT-NAACL Tutorials 2016: 17-20 - [c15]Anoop Kunchukuttan, Pushpak Bhattacharyya:
Faster Decoding for Subword Level Phrase-based SMT between Related Languages. VarDial@COLING 2016: 82-88 - [i3]Anoop Kunchukuttan, Pushpak Bhattacharyya:
Orthographic Syllable as basic unit for SMT between Related Languages. CoRR abs/1610.00634 (2016) - [i2]Anoop Kunchukuttan, Pushpak Bhattacharyya:
Learning variable length units for SMT between related languages via Byte Pair Encoding. CoRR abs/1610.06510 (2016) - [i1]Anoop Kunchukuttan, Pushpak Bhattacharyya:
Faster decoding for subword level Phrase-based SMT between related languages. CoRR abs/1611.00354 (2016) - 2015
- [c14]Anoop Kunchukuttan, Pushpak Bhattacharyya:
Data representation methods and use of mined corpora for Indian language transliteration. NEWS@ACL 2015: 78-82 - [c13]Anoop Kunchukuttan, Pushpak Bhattacharyya:
Addressing Class Imbalance in Grammatical Error Detection with Evaluation Metric Optimization. ICON 2015: 2-10 - [c12]Rohit More, Anoop Kunchukuttan, Pushpak Bhattacharyya, Raj Dabre:
Augmenting Pivot based SMT with word segmentation. ICON 2015: 303-307 - [c11]Pratik Mehta, Anoop Kunchukuttan, Pushpak Bhattacharyya:
Investigating the potential of post-ordering SMT output to improve translation quality. ICON 2015: 351-356 - [c10]Anoop Kunchukuttan, Ratish Puduppully, Pushpak Bhattacharyya:
Brahmi-Net: A transliteration and script conversion system for languages of the Indian subcontinent. HLT-NAACL 2015: 81-85 - 2014
- [c9]Anoop Kunchukuttan, Sriram Chaudhury, Pushpak Bhattacharyya:
Tuning a Grammar Correction System for Increased Precision. CoNLL Shared Task 2014: 60-64 - [c8]Rajen Chatterjee, Anoop Kunchukuttan, Pushpak Bhattacharyya:
Supertag Based Pre-ordering in Machine Translation. ICON 2014: 30-38 - [c7]Mitesh M. Khapra, Ananthakrishnan Ramanathan, Anoop Kunchukuttan, Karthik Visweswariah, Pushpak Bhattacharyya:
When Transliteration Met Crowdsourcing : An Empirical Study of Transliteration via Crowdsourcing using Efficient, Non-redundant and Fair Quality Control. LREC 2014: 196-202 - [c6]Anoop Kunchukuttan, Abhijit Mishra, Rajen Chatterjee, Ritesh M. Shah, Pushpak Bhattacharyya:
Shata-Anuvadak: Tackling Multiway Translation of Indian Languages. LREC 2014: 1781-1787 - [c5]Piyush Dungarwal, Rajen Chatterjee, Abhijit Mishra, Anoop Kunchukuttan, Ritesh M. Shah, Pushpak Bhattacharyya:
The IIT Bombay Hindi-English Translation System at WMT 2014. WMT@ACL 2014: 90-96 - 2013
- [c4]Anoop Kunchukuttan, Rajen Chatterjee, Shourya Roy, Abhijit Mishra, Pushpak Bhattacharyya:
TransDoop: A Map-Reduce based Crowdsourced Translation for Complex Domain. ACL (Conference System Demonstrations) 2013: 175-180 - [c3]Anoop Kunchukuttan, Ritesh M. Shah, Pushpak Bhattacharyya:
IITB System for CoNLL 2013 Shared Task: A Hybrid Approach to Grammatical Error Correction. CoNLL Shared Task 2013: 82-87 - 2012
- [c2]Anoop Kunchukuttan, Pushpak Bhattacharyya:
Partially modelling word reordering as a sequence labelling problem. SMT@COLING 2012: 47-54 - [c1]Anoop Kunchukuttan, Shourya Roy, Pratik Patel, Kushal Ladha, Somya Gupta, Mitesh M. Khapra, Pushpak Bhattacharyya:
Experiences in Resource Generation for Machine Translation through Crowdsourcing. LREC 2012: 384-391
Coauthor Index
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