Morphological Analyzer for Affix Stacking Languages: A Case Study of Marathi. - Raj Dabre; Archana Amberkar; Pushpak Bhattacharyya (COLING (Posters), 2012)

Tackling Close Cousins: Experiences In Developing Statistical Machine Translation Systems For Marathi And Hindi. - Raj Dabre; Jyotesh Choudhari; Pushpak Bhattacharyya (ICON, 2014)

Anou Tradir: Experiences In Building Statistical Machine Translation Systems For Mauritian Languages - Creole, English, French. - Raj Dabre; Aneerav Sukhoo; Pushpak Bhattacharyya (ICON, 2014)

PaCMan : Parallel Corpus Management Workbench. - Diptesh Kanojia; Manish Shrivastava 001; Raj Dabre; Pushpak Bhattacharyya (ICON, 2014)

Do not do processing, when you can look up: Towards a Discrimination Net for WSD. - Diptesh Kanojia; Pushpak Bhattacharyya; Raj Dabre; Siddhartha Gunti; Manish Shrivastava 001 (GWC, 2014)

KyotoEBMT System Description for the 2nd Workshop on Asian Translation. - John Richardson; Raj Dabre; Chenhui Chu; Fabien Cromierès; Toshiaki Nakazawa; Sadao Kurohashi (WAT, 2015)

Augmenting Pivot based SMT with word segmentation. - Rohit More; Anoop Kunchukuttan; Pushpak Bhattacharyya; Raj Dabre (ICON, 2015)

Leveraging Small Multilingual Corpora for SMT Using Many Pivot Languages. - Raj Dabre; Fabien Cromierès; Sadao Kurohashi; Pushpak Bhattacharyya (HLT-NAACL, 2015)

Large-scale Dictionary Construction via Pivot-based Statistical Machine Translation with Significance Pruning and Neural Network Features. - Raj Dabre; Chenhui Chu; Fabien Cromierès; Toshiaki Nakazawa; Sadao Kurohashi (PACLIC, 2015)

Parallel Sentence Extraction from Comparable Corpora with Neural Network Features. - Chenhui Chu; Raj Dabre; Sadao Kurohashi (LREC, 2016)

The Kyoto University Cross-Lingual Pronoun Translation System. - Raj Dabre; Yevgeniy Puzikov; Fabien Cromierès; Sadao Kurohashi (WMT, 2016)

Sophisticated Lexical Databases - Simplified Usage: Mobile Applications and Browser Plugins For Wordnets. - Diptesh Kanojia; Raj Dabre; Pushpak Bhattacharyya (GWC, 2016)

An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation. - Chenhui Chu; Raj Dabre; Sadao Kurohashi (ACL (2), 2017)

Kyoto University Participation to WAT 2017. - Fabien Cromierès; Raj Dabre; Toshiaki Nakazawa; Sadao Kurohashi (WAT@IJCNLP, 2017)

Neural Machine Translation: Basics, Practical Aspects and Recent Trends. - Fabien Cromierès; Toshiaki Nakazawa; Raj Dabre (IJCNLP (Tutorial Abstracts), 2017)

Kyoto University MT System Description for IWSLT 2017. - Raj Dabre; Fabien Cromierès; Sadao Kurohashi (IWSLT, 2017)

Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages. - Raj Dabre; Fabien Cromières; Sadao Kurohashi (MTSummit (1), 2017)

An Empirical Study of Language Relatedness for Transfer Learning in Neural Machine Translation. - Raj Dabre; Tetsuji Nakagawa; Hideto Kazawa (PACLIC, 2017)

An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation. - Chenhui Chu; Raj Dabre; Sadao Kurohashi (CoRR, 2017)

MMCR4NLP: Multilingual Multiway Corpora Repository for Natural Language Processing. - Raj Dabre; Sadao Kurohashi (CoRR, 2017)

NICT's Participation in WAT 2018: Approaches Using Multilingualism and Recurrently Stacked Layers. - Raj Dabre; Anoop Kunchukuttan; Atsushi Fujita; Eiichiro Sumita (WAT@PACLIC, 2018)

Overview of the 5th Workshop on Asian Translation. - Toshiaki Nakazawa; Katsuhito Sudoh; Shohei Higashiyama; Chenchen Ding; Raj Dabre; Hideya Mino; Isao Goto; Win Pa Pa; Anoop Kunchukuttan; Sadao Kurohashi (WAT@PACLIC, 2018)

A Comprehensive Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation. - Chenhui Chu; Raj Dabre; Sadao Kurohashi (J. Inf. Process., 2018)

Exploiting Multilingual Corpora Simply and Efficiently in Neural Machine Translation. - Raj Dabre; Fabien Cromierès; Sadao Kurohashi (J. Inf. Process., 2018)

Recurrent Stacking of Layers for Compact Neural Machine Translation Models. - Raj Dabre; Atsushi Fujita (AAAI, 2019)

NICT's participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT. - Raj Dabre; Eiichiro Sumita (WAT@EMNLP-IJCNLP, 2019)

Overview of the 6th Workshop on Asian Translation. - 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 (WAT@EMNLP-IJCNLP, 2019)

Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation. - Raj Dabre; Atsushi Fujita; Chenhui Chu (EMNLP/IJCNLP (1), 2019)

Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation. - Sheng Li 010; Raj Dabre; Xugang Lu; Peng Shen; Tatsuya Kawahara; Hisashi Kawai (INTERSPEECH, 2019)

Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation. - Aizhan Imankulova; Raj Dabre; Atsushi Fujita; Kenji Imamura (MTSummit (1), 2019)

NICT's Supervised Neural Machine Translation Systems for the WMT19 News Translation Task. - Raj Dabre; Kehai Chen; Benjamin Marie; Rui Wang 015; Atsushi Fujita; Masao Utiyama; Eiichiro Sumita (WMT (2), 2019)

NICT's Supervised Neural Machine Translation Systems for the WMT19 Translation Robustness Task. - Raj Dabre; Eiichiro Sumita (WMT (2), 2019)

NICT's Machine Translation Systems for the WMT19 Similar Language Translation Task. - Benjamin Marie; Raj Dabre; Atsushi Fujita (WMT (3), 2019)

Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation. - Chenhui Chu; Raj Dabre (CoRR, 2019)

Multi-Layer Softmaxing during Training Neural Machine Translation for Flexible Decoding with Fewer Layers. - Raj Dabre; Atsushi Fujita (CoRR, 2019)

Pre-training via Leveraging Assisting Languages for Neural Machine Translation. - Haiyue Song; Raj Dabre; Zhuoyuan Mao; Fei Cheng 002; Sadao Kurohashi; Eiichiro Sumita (ACL (student), 2020)

Balancing Cost and Benefit with Tied-Multi Transformers. - Raj Dabre; Raphael Rubino; Atsushi Fujita (NGT@ACL, 2020)

NICT's Submission To WAT 2020: How Effective Are Simple Many-To-Many Neural Machine Translation Models? - Raj Dabre; Abhisek Chakrabarty (WAT@AAC/IJCNLPL, 2020)

Overview of the 7th Workshop on Asian Translation. - 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 (WAT@AAC/IJCNLPL, 2020)

Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation. - Abhisek Chakrabarty; Raj Dabre; Chenchen Ding; Masao Utiyama; Eiichiro Sumita (COLING, 2020)

Multilingual Neural Machine Translation. - Raj Dabre; Chenhui Chu; Anoop Kunchukuttan (COLING (Tutorial), 2020)

Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages. - Diptesh Kanojia; Raj Dabre; Shubham Dewangan; Pushpak Bhattacharyya; Gholamreza Haffari; Malhar Kulkarni (COLING, 2020)

JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation. - Zhuoyuan Mao; Fabien Cromierès; Raj Dabre; Haiyue Song; Sadao Kurohashi (LREC, 2020)

Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation. - Haiyue Song; Raj Dabre; Atsushi Fujita; Sadao Kurohashi (LREC, 2020)

Joint Training End-to-End Speech Recognition Systems with Speaker Attributes. - Sheng Li 010; Xugang Lu; Raj Dabre; Peng Shen; Hisashi Kawai (Odyssey, 2020)

Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models. - Raj Dabre; Atsushi Fujita (WMT@EMNLP, 2020)

A Comprehensive Survey of Multilingual Neural Machine Translation. - Raj Dabre; Chenhui Chu; Anoop Kunchukuttan (CoRR, 2020)

Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation. - Haiyue Song; Raj Dabre; Zhuoyuan Mao; Fei Cheng 002; Sadao Kurohashi; Eiichiro Sumita (CoRR, 2020)

Softmax Tempering for Training Neural Machine Translation Models. - Raj Dabre; Atsushi Fujita (CoRR, 2020)

Extremely low-resource neural machine translation for Asian languages. - Raphael Rubino; Benjamin Marie; Raj Dabre; Atsushi Fujita; Masao Utiyama; Eiichiro Sumita (Mach. Transl., 2020)

NICT-5's Submission To WAT 2021: MBART Pre-training And In-Domain Fine Tuning For Indic Languages. - Raj Dabre; Abhisek Chakrabarty (WAT@ACL/IJCNLP, 2021)

Overview of the 8th Workshop on Asian Translation. - 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; et al. (WAT@ACL/IJCNLP, 2021)

Investigating Softmax Tempering for Training Neural Machine Translation Models. - Raj Dabre; Atsushi Fujita (MTSummit (1), 2021)

Studying The Impact Of Document-level Context On Simultaneous Neural Machine Translation. - Raj Dabre; Aizhan Imankulova; Masahiro Kaneko (MTSummit (1), 2021)

Simultaneous Multi-Pivot Neural Machine Translation. - Raj Dabre; Aizhan Imankulova; Masahiro Kaneko; Abhisek Chakrabarty (CoRR, 2021)

Recurrent Stacking of Layers in Neural Networks: An Application to Neural Machine Translation. - Raj Dabre; Atsushi Fujita (CoRR, 2021)

YANMTT: Yet Another Neural Machine Translation Toolkit. - Raj Dabre; Eiichiro Sumita (CoRR, 2021)

IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages. - Raj Dabre; Himani Shrotriya; Anoop Kunchukuttan; Ratish Puduppully; Mitesh M. Khapra; Pratyush Kumar (CoRR, 2021)

A Survey of Multilingual Neural Machine Translation. - Raj Dabre; Chenhui Chu; Anoop Kunchukuttan (ACM Comput. Surv., 2021)

IndicBART: A Pre-trained Model for Indic Natural Language Generation. - Raj Dabre; Himani Shrotriya; Anoop Kunchukuttan; Ratish Puduppully; Mitesh M. Khapra; Pratyush Kumar (ACL (Findings), 2022)

NICT's Submission to the WAT 2022 Structured Document Translation Task. - Raj Dabre (WAT@COLING, 2022)

Overview of the 9th Workshop on Asian Translation. - Toshiaki Nakazawa; Hideya Mino; Isao Goto; Raj Dabre; Shohei Higashiyama; Shantipriya Parida; Anoop Kunchukuttan; Makoto Morishita; Ondrej Bojar; Chenhui Chu; Akiko Eriguchi; Kaori Abe; et al. (WAT@COLING, 2022)

FeatureBART: Feature Based Sequence-to-Sequence Pre-Training for Low-Resource NMT. - Abhisek Chakrabarty; Raj Dabre; Chenchen Ding; Hideki Tanaka; Masao Utiyama; Eiichiro Sumita (COLING, 2022)

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 (EMNLP, 2022)

A Multilingual Multiway Evaluation Data Set for Structured Document Translation of Asian Languages. - Bianka Buschbeck; Raj Dabre; Miriam Exel; Matthias Huck; Patrick Huy; Raphael Rubino; Hideki Tanaka (AACL/IJCNLP (Findings), 2022)

KreolMorisienMT: A Dataset for Mauritian Creole Machine Translation. - Raj Dabre; Aneerav Sukhoo (AACL/IJCNLP (Findings), 2022)

BERTSeg: BERT Based Unsupervised Subword Segmentation for Neural Machine Translation. - Haiyue Song; Raj Dabre; Zhuoyuan Mao; Chenhui Chu; Sadao Kurohashi (AACL/IJCNLP (2), 2022)

Fusion of Self-supervised Learned Models for MOS Prediction. - Zhengdong Yang; Wangjin Zhou; Chenhui Chu; Sheng Li 010; Raj Dabre; Raphael Rubino; Yi Zhao 006 (INTERSPEECH, 2022)

When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? - Zhuoyuan Mao; Chenhui Chu; Raj Dabre; Haiyue Song; Zhen Wan; Sadao Kurohashi (NAACL-HLT (Findings), 2022)

NICT at MixMT 2022: Synthetic Code-Mixed Pre-training and Multi-way Fine-tuning for Hinglish-English Translation. - Raj Dabre (WMT, 2022)

IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. - Aman Kumar; Himani Shrotriya; Prachi Sahu; Raj Dabre; Ratish Puduppully; Anoop Kunchukuttan; Amogh Mishra; Mitesh M. Khapra; Pratyush Kumar (CoRR, 2022)

MorisienMT: A Dataset for Mauritian Creole Machine Translation. - Raj Dabre; Aneerav Sukhoo (CoRR, 2022)

SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning. - Zhishen Yang; Raj Dabre; Hideki Tanaka; Naoaki Okazaki (SDU@AAAI, 2023)

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 (ACL (1), 2023)

YANMTT: Yet Another Neural Machine Translation Toolkit. - Raj Dabre; Diptesh Kanojia; Chinmay Sawant; Eiichiro Sumita (ACL (demo), 2023)

Robustness of Multi-Source MT to Transcription Errors. - Dominik Machácek; Peter Polak; Ondrej Bojar; Raj Dabre (ACL (Findings), 2023)

Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation. - Zhuoyuan Mao; Raj Dabre; Qianying Liu; Haiyue Song; Chenhui Chu; Sadao Kurohashi (ACL (2), 2023)

An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models. - Varun Gumma; Raj Dabre; Pratyush Kumar (EAMT, 2023)

CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation. - Aswanth M.; Ratish Puduppully; Raj Dabre; Anoop Kunchukuttan (EMNLP (Findings), 2023)

DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models. - Ratish Puduppully; Anoop Kunchukuttan; Raj Dabre; Ai Ti Aw; Nancy Chen (EMNLP, 2023)

MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation. - Dominik Machácek; Ondrej Bojar; Raj Dabre (IWSLT@ACL, 2023)

NICT-AI4B's Submission to the Indic MT Shared Task in WMT 2023. - Raj Dabre; Jay P. Gala; Pranjal A. Chitale (WMT, 2023)

Variable-length Neural Interlingua Representations for Zero-shot Neural Machine Translation. - Zhuoyuan Mao; Haiyue Song; Raj Dabre; Chenhui Chu; Sadao Kurohashi (CoRR, 2023)

Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models. - Ratish Puduppully; Raj Dabre; Ai Ti Aw; Nancy F. Chen (CoRR, 2023)

In-context Example Selection for Machine Translation Using Multiple Features. - Aswanth Kumar; Anoop Kunchukuttan; Ratish Puduppully; Raj Dabre (CoRR, 2023)

Turning Whisper into Real-Time Transcription System. - Dominik Machácek; Raj Dabre; Ondrej Bojar (CoRR, 2023)

CreoleVal: Multilingual Multitask Benchmarks for Creoles. - Heather C. Lent; Kushal Tatariya; Raj Dabre; Yiyi Chen 002; Marcell Fekete; Esther Ploeger; Li Zhou 010; Hans Erik Heje; Diptesh Kanojia; Paul Belony; Marcel Bollmann; Loïc Grobol; et al. (CoRR, 2023)

Low-resource Multilingual Neural Translation Using Linguistic Feature-based Relevance Mechanisms. - Abhisek Chakrabarty; Raj Dabre; Chenchen Ding; Masao Utiyama; Eiichiro Sumita (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages. - 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; et al. (Trans. Mach. Learn. Res., 2023)

SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation. - Haiyue Song; Raj Dabre; Chenhui Chu; Sadao Kurohashi; Eiichiro Sumita (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

An Empirical Study of In-context Learning in LLMs for Machine Translation. - Pranjal A. Chitale; Jay P. Gala; Raj Dabre (ACL (Findings), 2024)

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 (ACL (1), 2024)

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 (ACL (1), 2024)

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 (ACL (Short Papers), 2024)

PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities. - Settaluri Lakshmi Sravanthi; Meet Doshi; Pavan Tankala; V. Rudra Murthy; Raj Dabre; Pushpak Bhattacharyya (ACL (Findings), 2024)

How Effective is Synthetic Data and Instruction Fine-tuning for Translation with Markup using LLMs? - Raj Dabre; Haiyue Song; Miriam Exel; Bianka Buschbeck; Johannes Eschbach-Dymanus; Hideki Tanaka (AMTA (1), 2024)

NGLUEni: Benchmarking and Adapting Pretrained Language Models for Nguni Languages. - Francois Meyer; Haiyue Song; Abhisek Chakrabarty; Jan Buys; Raj Dabre; Hideki Tanaka (LREC/COLING, 2024)

A Comprehensive Analysis of Adapter Efficiency. - Nandini Mundra; Sumanth Doddapaneni; Raj Dabre; Anoop Kunchukuttan; Ratish Puduppully; Mitesh M. Khapra (COMAD/CODS, 2024)

SubMerge: Merging Equivalent Subword Tokenizations for Subword Regularized Models in Neural Machine Translation. - Haiyue Song; Francois Meyer; Raj Dabre; Hideki Tanaka; Chenhui Chu; Sadao Kurohashi (EAMT (1), 2024)

Pretraining Language Models Using Translationese. - Meet Doshi; Raj Dabre; Pushpak Bhattacharyya (EMNLP, 2024)

A Morphology-Based Investigation of Positional Encodings. - Poulami Ghosh; Shikhar Vashishth; Raj Dabre; Pushpak Bhattacharyya (EMNLP, 2024)

MOS-FAD: Improving Fake Audio Detection Via Automatic Mean Opinion Score Prediction. - Wangjin Zhou; Zhengdong Yang; Chenhui Chu; Sheng Li 010; Raj Dabre; Yi Zhao 006; Tatsuya Kawahara (ICASSP, 2024)

Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages. - Nathaniel R. Robinson; Raj Dabre; Ammon Shurtz; Rasul Dent; Onenamiyi Onesi; Claire Bizon Monroc; Loïc Grobol; Hasan Muhammad; Ashi Garg; Naome A. Etori; Vijay Murari Tiyyala; Olanrewaju Samuel; et al. (NAACL-HLT, 2024)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Santiago Góngora; Aishik Mandal; Sukannya Purkayastha; Jesús-Germán Ortiz-Barajas; Emilio Villa-Cueva; Jinheon Baek; Soyeong Jeong; Injy Hamed; Zheng Xin Yong; et al. (NeurIPS, 2024)

Findings of WMT 2024's MultiIndic22MT Shared Task for Machine Translation of 22 Indian Languages. - Raj Dabre; Anoop Kunchukuttan (WMT, 2024)

PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities. - Settaluri Lakshmi Sravanthi; Meet Doshi; Tankala Pavan Kalyan; V. Rudra Murthy; Pushpak Bhattacharyya; Raj Dabre (CoRR, 2024)

An Empirical Analysis of In-context Learning Abilities of LLMs for MT. - Pranjal A. Chitale; Jay P. Gala; Varun Gumma; Mitesh M. Khapra; Raj Dabre (CoRR, 2024)

RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models models via Romanization. - Jaavid Aktar Husain; Raj Dabre; Aswanth Kumar; Ratish Puduppully; Anoop Kunchukuttan (CoRR, 2024)

Airavata: Introducing Hindi Instruction-tuned LLM. - 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 (CoRR, 2024)

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 G; Varun Balan G; Sparsh Jain; Anoop Kunchukuttan; Pratyush Kumar; Raj Dabre; Mitesh M. Khapra (CoRR, 2024)

Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese. - Meet Doshi; Raj Dabre; Pushpak Bhattacharyya (CoRR, 2024)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Teresa Lynn; Injy Hamed; Aditya Nanda Kishore; Aishik Mandal; Alina Dragonetti; Artem Abzaliev; Atnafu Lambebo Tonja; Bontu Fufa Balcha; Chenxi Whitehouse; et al. (CoRR, 2024)

How effective is Multi-source pivoting for Translation of Low Resource Indian Languages? - Pranav Gaikwad; Meet Doshi; Raj Dabre; Pushpak Bhattacharyya (CoRR, 2024)

An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models. - Nandini Mundra; Aditya Nanda Kishore; Raj Dabre; Ratish Puduppully; Anoop Kunchukuttan; Mitesh M. Khapra (CoRR, 2024)

WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines. - Genta Indra Winata; Frederikus Hudi; Patrick Amadeus Irawan; David Anugraha; Rifki Afina Putri; Yutong Wang; Adam Nohejl; Ubaidillah Ariq Prathama; Nedjma Ousidhoum; Afifa Amriani; Anar Rzayev; Anirban Das; et al. (CoRR, 2024)

BhasaAnuvaad: A Speech Translation Dataset for 13 Indian Languages. - Sparsh Jain; Ashwin Sankar; Devilal Choudhary; Dhairya Suman; Nikhil Narasimhan; Mohammed Safi Ur Rahman Khan; Anoop Kunchukuttan; Mitesh M. Khapra; Raj Dabre (CoRR, 2024)

Pralekha: An Indic Document Alignment Evaluation Benchmark. - Sanjay Suryanarayanan; Haiyue Song; Mohammed Safi Ur Rahman Khan; Anoop Kunchukuttan; Mitesh M. Khapra; Raj Dabre (CoRR, 2024)

Bilingual Corpus Mining and Multistage Fine-tuning for Improving Machine Translation of Lecture Transcripts. - Haiyue Song; Raj Dabre; Chenhui Chu; Atsushi Fujita; Sadao Kurohashi (J. Inf. Process., 2024)

CreoleVal: Multilingual Multitask Benchmarks for Creoles. - Heather C. Lent; Kushal Tatariya; Raj Dabre; Yiyi Chen 002; Marcell Fekete; Esther Ploeger; Li Zhou 010; Ruth-Ann Armstrong; Abee Eijansantos; Catriona Malau; Hans Erik Heje; Ernests Lavrinovics; et al. (Trans. Assoc. Comput. Linguistics, 2024)

Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs. - Sumanth Doddapaneni; Mohammed Safi Ur Rahman Khan; Dilip Venkatesh; Raj Dabre; Anoop Kunchukuttan; Mitesh M. Khapra (ACL (1), 2025)

RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs. - Alan Saji; Jaavid Aktar Husain; Thanmay Jayakumar; Raj Dabre; Anoop Kunchukuttan; Ratish Puduppully (ACL (Findings), 2025)

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 (ACL (1), 2025)

PrahokBART: A Pre-trained Sequence-to-Sequence Model for Khmer Natural Language Generation. - Hour Kaing; Raj Dabre; Haiyue Song; Van-Hien Tran; Hideki Tanaka; Masao Utiyama (COLING, 2025)

Exploiting Word Sense Disambiguation in Large Language Models for Machine Translation. - Van-Hien Tran; Raj Dabre; Hour Kaing; Haiyue Song; Hideki Tanaka; Masao Utiyama (COLING Workshops, 2025)

Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages. - Poulami Ghosh; Raj Dabre; Pushpak Bhattacharyya (NAACL (Findings), 2025)

WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines. - Genta Indra Winata; Frederikus Hudi; Patrick Amadeus Irawan; David Anugraha; Rifki Afina Putri; Yutong Wang; Adam Nohejl; Ubaidillah Ariq Prathama; Nedjma Ousidhoum; Afifa Amriani; Anar Rzayev; Anirban Das; et al. (NAACL (Long Papers), 2025)

IteRABRe: Iterative Recovery-Aided Block Reduction. - Haryo Akbarianto Wibowo; Haiyue Song; Hideki Tanaka; Masao Utiyama; Alham Fikri Aji; Raj Dabre (CoRR, 2025)

TikZero: Zero-Shot Text-Guided Graphics Program Synthesis. - Jonas Belouadi; Eddy Ilg; Margret Keuper; Hideki Tanaka; Masao Utiyama; Raj Dabre; Steffen Eger; Simone Paolo Ponzetto (CoRR, 2025)

CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation. - Emilio Villa-Cueva; Sholpan Bolatzhanova; Diana Turmakhan; Kareem Elzeky; Henok Biadglign Ademtew; Alham Fikri Aji; Israel Abebe Azime; Jinheon Baek; Frederico Belcavello; Fermin Cristobal; Jan Christian Blaise Cruz; Mary Dabre; et al. (CoRR, 2025)

Limited-Resource Adapters Are Regularizers, Not Linguists. - Marcell Fekete; Nathaniel R. Robinson; Ernests Lavrinovics; E. Djeride Jean-Baptiste; Raj Dabre; Johannes Bjerva; Heather C. Lent (CoRR, 2025)

IndicRAGSuite: Large-Scale Datasets and a Benchmark for Indian Language RAG Systems. - Pasunuti Prasanjith; Prathmesh B. More; Anoop Kunchukuttan; Raj Dabre (CoRR, 2025)

Mark My Words: A Robust Multilingual Model for Punctuation in Text and Speech Transcripts. - Sidharth Pulipaka; Sparsh Jain; Ashwin Sankar; Raj Dabre (CoRR, 2025)

CycleDistill: Bootstrapping Machine Translation using LLMs with Cyclical Distillation. - Deepon Halder; Thanmay Jayakumar; Raj Dabre (CoRR, 2025)

Natural Language Processing for Dialects of a Language: A Survey. - Aditya Joshi; Raj Dabre; Diptesh Kanojia; Zhuang Li 001; Haolan Zhan; Gholamreza Haffari; Doris Dippold (ACM Comput. Surv., 2025)

When Alignment Hurts: Decoupling Representational Spaces in Multilingual Models. - Ahmed Elshabrawy; Hour Kaing; Haiyue Song; Alham Fikri Aji; Hideki Tanaka; Masao Utiyama; Raj Dabre (CoRR, 2025)