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2020 – today
- 2024
[j9]Haiyue Song, Raj Dabre, Chenhui Chu, Atsushi Fujita, Sadao Kurohashi:
Bilingual Corpus Mining and Multistage Fine-tuning for Improving Machine Translation of Lecture Transcripts. J. Inf. Process. 32: 628-640 (2024)- [j8]Heather C. Lent, Kushal Tatariya, Raj Dabre, Yiyi Chen, Marcell Fekete, Esther Ploeger, Li Zhou, Ruth-Ann Armstrong, Abee Eijansantos, Catriona Malau, Hans Erik Heje, Ernests Lavrinovics, Diptesh Kanojia, Paul Belony, Marcel Bollmann, Loïc Grobol, Miryam de Lhoneux, Daniel Hershcovich, Michel DeGraff, Anders Søgaard, Johannes Bjerva:
CreoleVal: Multilingual Multitask Benchmarks for Creoles. Trans. Assoc. Comput. Linguistics 12: 950-978 (2024) - [c78]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 - [c77]Pranjal A. Chitale, Jay P. Gala, Raj Dabre:
An Empirical Study of In-context Learning in LLMs for Machine Translation. ACL (Findings) 2024: 7384-7406 - [c76]Settaluri Lakshmi Sravanthi, Meet Doshi, Pavan Tankala, V. Rudra Murthy, Raj Dabre, Pushpak Bhattacharyya:
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities. ACL (Findings) 2024: 12075-12097 - [c75]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 - [c74]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 - [c73]Raj Dabre, Haiyue Song, Miriam Exel, Bianka Buschbeck, Johannes Eschbach-Dymanus, Hideki Tanaka:
How Effective is Synthetic Data and Instruction Fine-tuning for Translation with Markup using LLMs? AMTA (1) 2024: 73-87 - [c72]Francois Meyer, Haiyue Song, Abhisek Chakrabarty, Jan Buys, Raj Dabre, Hideki Tanaka:
NGLUEni: Benchmarking and Adapting Pretrained Language Models for Nguni Languages. LREC/COLING 2024: 12247-12258 - [c71]Nandini Mundra
, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra:
A Comprehensive Analysis of Adapter Efficiency. COMAD/CODS 2024: 136-154 - [c70]Haiyue Song, Francois Meyer, Raj Dabre, Hideki Tanaka, Chenhui Chu, Sadao Kurohashi:
SubMerge: Merging Equivalent Subword Tokenizations for Subword Regularized Models in Neural Machine Translation. EAMT (1) 2024: 147-163 - [c69]Meet Doshi, Raj Dabre, Pushpak Bhattacharyya:
Pretraining Language Models Using Translationese. EMNLP 2024: 5843-5862 - [c68]Poulami Ghosh, Shikhar Vashishth, Raj Dabre, Pushpak Bhattacharyya:
A Morphology-Based Investigation of Positional Encodings. EMNLP 2024: 21035-21045 - [c67]Wangjin Zhou, Zhengdong Yang, Chenhui Chu, Sheng Li, Raj Dabre, Yi Zhao, Tatsuya Kawahara:
MOS-FAD: Improving Fake Audio Detection Via Automatic Mean Opinion Score Prediction. ICASSP 2024: 876-880 - [c66]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, Matthew Dean Stutzman, Bismarck Bamfo Odoom, Sanjeev Khudanpur, Stephen D. Richardson, Kenton Murray:
Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages. NAACL-HLT 2024: 3083-3110 - [i52]Aditya Joshi, Raj Dabre, Diptesh Kanojia, Zhuang Li, Haolan Zhan, Gholamreza Haffari, Doris Dippold:
Natural Language Processing for Dialects of a Language: A Survey. CoRR abs/2401.05632 (2024) - [i51]Settaluri Lakshmi Sravanthi, Meet Doshi, Tankala Pavan Kalyan, V. Rudra Murthy, Pushpak Bhattacharyya, Raj Dabre:
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities. CoRR abs/2401.07078 (2024) - [i50]Pranjal A. Chitale, Jay P. Gala, Varun Gumma, Mitesh M. Khapra, Raj Dabre:
An Empirical Analysis of In-context Learning Abilities of LLMs for MT. CoRR abs/2401.12097 (2024) - [i49]Wangjin Zhou, Zhengdong Yang, Chenhui Chu, Sheng Li, Raj Dabre, Yi Zhao, Tatsuya Kawahara:
MOS-FAD: Improving Fake Audio Detection Via Automatic Mean Opinion Score Prediction. CoRR abs/2401.13249 (2024) - [i48]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) - [i47]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) - [i46]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) - [i45]Meet Doshi, Raj Dabre, Pushpak Bhattacharyya:
Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese. CoRR abs/2403.13638 (2024) - [i44]Poulami Ghosh, Shikhar Vashishth, Raj Dabre, Pushpak Bhattacharyya:
A Morphology-Based Investigation of Positional Encodings. CoRR abs/2404.04530 (2024) - [i43]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, Matthew Dean Stutzman, Bismarck Bamfo Odoom, Sanjeev Khudanpur, Stephen D. Richardson, Kenton Murray:
Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages. CoRR abs/2405.05376 (2024) - [i42]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) - [i41]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, Christian Salamea, Dan John Velasco, David Ifeoluwa Adelani, David Le Meur, Emilio Villa-Cueva, Fajri Koto, Fauzan Farooqui, Frederico Belcavello, Ganzorig Batnasan, Gisela Vallejo, Grainne Caulfield, Guido Ivetta, Haiyue Song, Henok Biadglign Ademtew, Hernán Maina, Holy Lovenia, Israel Abebe Azime, Jan Christian Blaise Cruz, Jay P. Gala, Jiahui Geng, Jesús-Germán Ortiz-Barajas, Jinheon Baek, Jocelyn Dunstan, Laura Alonso Alemany, Kumaranage Ravindu Yasas Nagasinghe, Luciana Benotti, Luis Fernando D'Haro, Marcelo Viridiano, Marcos Estecha-Garitagoitia, Maria Camila Buitrago Cabrera, Mario Rodríguez-Cantelar, Mélanie Jouitteau, Mihail Mihaylov, Mohamed Fazli Mohamed Imam, Muhammad Farid Adilazuarda, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Naome A. Etori, Olivier Niyomugisha, Paula Mónica Silva, Pranjal A. Chitale, Raj Dabre, Rendi Chevi, Ruochen Zhang, Ryandito Diandaru, Samuel Cahyawijaya, Santiago Góngora, Soyeong Jeong, Sukannya Purkayastha, Tatsuki Kuribayashi, Thanmay Jayakumar, Tiago Timponi Torrent, Toqeer Ehsan, Vladimir Araujo, Yova Kementchedjhieva, Zara Burzo, Zheng Wei Lim, Zheng Xin Yong, Oana Ignat, Joan Nwatu, Rada Mihalcea, Thamar Solorio, Alham Fikri Aji:
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. CoRR abs/2406.05967 (2024) - [i40]Pranav Gaikwad, Meet Doshi, Raj Dabre, Pushpak Bhattacharyya:
How effective is Multi-source pivoting for Translation of Low Resource Indian Languages? CoRR abs/2406.13332 (2024) - [i39]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) - 2023
- [j7]Abhisek Chakrabarty, Raj Dabre, Chenchen Ding, Masao Utiyama, Eiichiro Sumita:
Low-resource Multilingual Neural Translation Using Linguistic Feature-based Relevance Mechanisms. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(7): 191:1-191:36 (2023) - [j6]Haiyue Song, Raj Dabre, Chenhui Chu, Sadao Kurohashi, Eiichiro Sumita:
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(8): 215:1-215:24 (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) - [c65]Zhishen Yang, Raj Dabre, Hideki Tanaka, Naoaki Okazaki:
SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning. SDU@AAAI 2023 - [c64]Raj Dabre, Diptesh Kanojia, Chinmay Sawant, Eiichiro Sumita:
YANMTT: Yet Another Neural Machine Translation Toolkit. ACL (demo) 2023: 257-263 - [c63]Zhuoyuan Mao, Raj Dabre, Qianying Liu, Haiyue Song, Chenhui Chu, Sadao Kurohashi:
Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation. ACL (2) 2023: 1300-1316 - [c62]Dominik Machácek, Peter Polak, Ondrej Bojar, Raj Dabre:
Robustness of Multi-Source MT to Transcription Errors. ACL (Findings) 2023: 3707-3723 - [c61]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 - [c60]Varun Gumma, Raj Dabre, Pratyush Kumar:
An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models. EAMT 2023: 103-114 - [c59]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 - [c58]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 - [c57]Dominik Machácek, Ondrej Bojar, Raj Dabre:
MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation. IWSLT@ACL 2023: 169-179 - [c56]Raj Dabre, Jay P. Gala, Pranjal A. Chitale:
NICT-AI4B's Submission to the Indic MT Shared Task in WMT 2023. WMT 2023: 941-949 - [i38]Varun Gumma, Raj Dabre, Pratyush Kumar:
An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models. CoRR abs/2304.09388 (2023) - [i37]Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra:
A Comprehensive Analysis of Adapter Efficiency. CoRR abs/2305.07491 (2023) - [i36]Zhuoyuan Mao, Raj Dabre, Qianying Liu, Haiyue Song, Chenhui Chu, Sadao Kurohashi:
Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation. CoRR abs/2305.09312 (2023) - [i35]Zhuoyuan Mao, Haiyue Song, Raj Dabre, Chenhui Chu, Sadao Kurohashi:
Variable-length Neural Interlingua Representations for Zero-shot Neural Machine Translation. CoRR abs/2305.10190 (2023) - [i34]Ratish Puduppully, Raj Dabre, Ai Ti Aw, Nancy F. Chen:
Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models. CoRR abs/2305.13085 (2023) - [i33]Aswanth Kumar, Anoop Kunchukuttan, Ratish Puduppully, Raj Dabre:
In-context Example Selection for Machine Translation Using Multiple Features. CoRR abs/2305.14105 (2023) - [i32]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) - [i31]Dominik Machácek, Peter Polák, Ondrej Bojar, Raj Dabre:
Robustness of Multi-Source MT to Transcription Errors. CoRR abs/2305.16894 (2023) - [i30]Zhishen Yang, Raj Dabre, Hideki Tanaka, Naoaki Okazaki:
SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning. CoRR abs/2306.03491 (2023) - [i29]Dominik Machácek, Raj Dabre, Ondrej Bojar:
Turning Whisper into Real-Time Transcription System. CoRR abs/2307.14743 (2023) - [i28]Haiyue Song, Raj Dabre, Chenhui Chu, Sadao Kurohashi, Eiichiro Sumita:
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation. CoRR abs/2307.16400 (2023) - [i27]Heather C. Lent, Kushal Tatariya, Raj Dabre, Yiyi Chen, Marcell Fekete, Esther Ploeger, Li Zhou, Hans Erik Heje, Diptesh Kanojia, Paul Belony, Marcel Bollmann, Loïc Grobol, Miryam de Lhoneux, Daniel Hershcovich, Michel DeGraff, Anders Søgaard, Johannes Bjerva:
CreoleVal: Multilingual Multitask Benchmarks for Creoles. CoRR abs/2310.19567 (2023) - [i26]Haiyue Song, Raj Dabre, Chenhui Chu, Atsushi Fujita, Sadao Kurohashi:
Bilingual Corpus Mining and Multistage Fine-Tuning for Improving Machine Translation of Lecture Transcripts. CoRR abs/2311.03696 (2023) - 2022
- [c55]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 - [c54]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 - [c53]Raj Dabre:
NICT's Submission to the WAT 2022 Structured Document Translation Task. WAT@COLING 2022: 64-67 - [c52]Abhisek Chakrabarty, Raj Dabre, Chenchen Ding, Hideki Tanaka, Masao Utiyama, Eiichiro Sumita:
FeatureBART: Feature Based Sequence-to-Sequence Pre-Training for Low-Resource NMT. COLING 2022: 5014-5020 - [c51]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 - [c50]Raj Dabre, Aneerav Sukhoo:
KreolMorisienMT: A Dataset for Mauritian Creole Machine Translation. AACL/IJCNLP (Findings) 2022: 22-29 - [c49]Haiyue Song, Raj Dabre, Zhuoyuan Mao, Chenhui Chu, Sadao Kurohashi:
BERTSeg: BERT Based Unsupervised Subword Segmentation for Neural Machine Translation. AACL/IJCNLP (2) 2022: 85-94 - [c48]Bianka Buschbeck, Raj Dabre, Miriam Exel, Matthias Huck, Patrick Huy, Raphael Rubino, Hideki Tanaka:
A Multilingual Multiway Evaluation Data Set for Structured Document Translation of Asian Languages. AACL/IJCNLP (Findings) 2022: 237-245 - [c47]Zhengdong Yang, Wangjin Zhou, Chenhui Chu, Sheng Li, Raj Dabre, Raphael Rubino, Yi Zhao:
Fusion of Self-supervised Learned Models for MOS Prediction. INTERSPEECH 2022: 5443-5447 - [c46]Zhuoyuan Mao, Chenhui Chu, Raj Dabre, Haiyue Song, Zhen Wan, Sadao Kurohashi:
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? NAACL-HLT (Findings) 2022: 1766-1775 - [c45]Raj Dabre:
NICT at MixMT 2022: Synthetic Code-Mixed Pre-training and Multi-way Fine-tuning for Hinglish-English Translation. WMT 2022: 1122-1125 - [i25]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) - [i24]Zhengdong Yang, Wangjin Zhou, Chenhui Chu, Sheng Li, Raj Dabre, Raphael Rubino, Yi Zhao:
Fusion of Self-supervised Learned Models for MOS Prediction. CoRR abs/2204.04855 (2022) - [i23]Zhuoyuan Mao, Chenhui Chu, Raj Dabre, Haiyue Song, Zhen Wan, Sadao Kurohashi:
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? CoRR abs/2204.12165 (2022) - [i22]Raj Dabre, Aneerav Sukhoo:
MorisienMT: A Dataset for Mauritian Creole Machine Translation. CoRR abs/2206.02421 (2022) - [i21]Dominik Machácek, Ondrej Bojar, Raj Dabre:
MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation. CoRR abs/2211.08633 (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
- [j4]Raj Dabre, Chenhui Chu, Anoop Kunchukuttan:
A Survey of Multilingual Neural Machine Translation. ACM Comput. Surv. 53(5): 99:1-99:38 (2021) - [c44]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 - [c43]Raj Dabre, Abhisek Chakrabarty:
NICT-5's Submission To WAT 2021: MBART Pre-training And In-Domain Fine Tuning For Indic Languages. WAT@ACL/IJCNLP 2021: 198-204 - [c42]Raj Dabre, Atsushi Fujita:
Investigating Softmax Tempering for Training Neural Machine Translation Models. MTSummit (1) 2021: 114-126 - [c41]Raj Dabre, Aizhan Imankulova, Masahiro Kaneko:
Studying The Impact Of Document-level Context On Simultaneous Neural Machine Translation. MTSummit (1) 2021: 202-214 - [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]Raj Dabre, Aizhan Imankulova, Masahiro Kaneko, Abhisek Chakrabarty:
Simultaneous Multi-Pivot Neural Machine Translation. CoRR abs/2104.07410 (2021) - [i18]Raj Dabre, Atsushi Fujita:
Recurrent Stacking of Layers in Neural Networks: An Application to Neural Machine Translation. CoRR abs/2106.10002 (2021) - [i17]Raj Dabre, Eiichiro Sumita:
YANMTT: Yet Another Neural Machine Translation Toolkit. CoRR abs/2108.11126 (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]Diptesh Kanojia, Raj Dabre, Shubham Dewangan, Pushpak Bhattacharyya, Gholamreza Haffari, Malhar Kulkarni:
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages. CoRR abs/2112.08789 (2021) - 2020
- [j3]Raphael Rubino, Benjamin Marie, Raj Dabre, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita:
Extremely low-resource neural machine translation for Asian languages. Mach. Transl. 34(4): 347-382 (2020) - [c40]Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita:
Pre-training via Leveraging Assisting Languages for Neural Machine Translation. ACL (student) 2020: 279-285 - [c39]Raj Dabre, Raphael Rubino, Atsushi Fujita:
Balancing Cost and Benefit with Tied-Multi Transformers. NGT@ACL 2020: 24-34 - [c38]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 - [c37]Raj Dabre, Abhisek Chakrabarty:
NICT's Submission To WAT 2020: How Effective Are Simple Many-To-Many Neural Machine Translation Models? WAT@AAC/IJCNLPL 2020: 98-102 - [c36]Raj Dabre, Chenhui Chu, Anoop Kunchukuttan:
Multilingual Neural Machine Translation. COLING (Tutorial) 2020: 16-21 - [c35]Diptesh Kanojia, Raj Dabre, Shubham Dewangan, Pushpak Bhattacharyya, Gholamreza Haffari, Malhar Kulkarni:
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages. COLING 2020: 1384-1395 - [c34]Abhisek Chakrabarty, Raj Dabre, Chenchen Ding, Masao Utiyama, Eiichiro Sumita:
Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation. COLING 2020: 4263-4274 - [c33]Haiyue Song, Raj Dabre, Atsushi Fujita, Sadao Kurohashi:
Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation. LREC 2020: 3640-3649 - [c32]Zhuoyuan Mao, Fabien Cromierès, Raj Dabre, Haiyue Song, Sadao Kurohashi:
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation. LREC 2020: 3683-3691 - [c31]Sheng Li, Xugang Lu, Raj Dabre, Peng Shen, Hisashi Kawai:
Joint Training End-to-End Speech Recognition Systems with Speaker Attributes. Odyssey 2020: 385-390 - [c30]Raj Dabre, Atsushi Fujita:
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models. WMT@EMNLP 2020: 492-502 - [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] - [i14]Raj Dabre, Chenhui Chu, Anoop Kunchukuttan:
A Comprehensive Survey of Multilingual Neural Machine Translation. CoRR abs/2001.01115 (2020) - [i13]Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita:
Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation. CoRR abs/2001.08353 (2020) - [i12]Raj Dabre, Raphael Rubino, Atsushi Fujita:
Balancing Cost and Benefit with Tied-Multi Transformers. CoRR abs/2002.08614 (2020) - [i11]Zhuoyuan Mao, Fabien Cromierès, Raj Dabre, Haiyue Song, Sadao Kurohashi:
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation. CoRR abs/2005.03361 (2020) - [i10]Raj Dabre, Atsushi Fujita:
Softmax Tempering for Training Neural Machine Translation Models. CoRR abs/2009.09372 (2020)
2010 – 2019
- 2019
- [c29]Raj Dabre, Atsushi Fujita:
Recurrent Stacking of Layers for Compact Neural Machine Translation Models. AAAI 2019: 6292-6299 - [c28]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 - [c27]Raj Dabre, Eiichiro Sumita:
NICT's participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT. WAT@EMNLP-IJCNLP 2019: 76-80 - [c26]Raj Dabre, Atsushi Fujita, Chenhui Chu:
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 1410-1416 - [c25]Sheng Li, Raj Dabre, Xugang Lu, Peng Shen, Tatsuya Kawahara, Hisashi Kawai:
Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation. INTERSPEECH 2019: 4400-4404 - [c24]Aizhan Imankulova, Raj Dabre, Atsushi Fujita, Kenji Imamura:
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation. MTSummit (1) 2019: 128-139 - [c23]Raj Dabre, Kehai Chen, Benjamin Marie, Rui Wang, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita:
NICT's Supervised Neural Machine Translation Systems for the WMT19 News Translation Task. WMT (2) 2019: 168-174 - [c22]Benjamin Marie, Raj Dabre, Atsushi Fujita:
NICT's Machine Translation Systems for the WMT19 Similar Language Translation Task. WMT (3) 2019: 208-212 - [c21]Raj Dabre, Eiichiro Sumita:
NICT's Supervised Neural Machine Translation Systems for the WMT19 Translation Robustness Task. WMT (2) 2019: 533-536 - [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) - [i8]Chenhui Chu, Raj Dabre:
Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation. CoRR abs/1906.07978 (2019) - [i7]Aizhan Imankulova, Raj Dabre, Atsushi Fujita, Kenji Imamura:
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation. CoRR abs/1907.03060 (2019) - [i6]Raj Dabre, Atsushi Fujita:
Multi-Layer Softmaxing during Training Neural Machine Translation for Flexible Decoding with Fewer Layers. CoRR abs/1908.10118 (2019) - [i5]Haiyue Song, Raj Dabre, Atsushi Fujita, Sadao Kurohashi:
Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation. CoRR abs/1912.11739 (2019) - 2018
- [j2]Raj Dabre, Fabien Cromierès, Sadao Kurohashi:
Exploiting Multilingual Corpora Simply and Efficiently in Neural Machine Translation. J. Inf. Process. 26: 406-415 (2018) - [j1]Chenhui Chu, Raj Dabre, Sadao Kurohashi:
A Comprehensive Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation. J. Inf. Process. 26: 529-538 (2018) - [c20]Raj Dabre, Anoop Kunchukuttan, Atsushi Fujita, Eiichiro Sumita:
NICT's Participation in WAT 2018: Approaches Using Multilingualism and Recurrently Stacked Layers. WAT@PACLIC 2018 - [c19]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 - [i4]Raj Dabre, Atsushi Fujita:
Recurrent Stacking of Layers for Compact Neural Machine Translation Models. CoRR abs/1807.05353 (2018) - 2017
- [c18]Chenhui Chu, Raj Dabre, Sadao Kurohashi:
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation. ACL (2) 2017: 385-391 - [c17]Fabien Cromierès, Raj Dabre, Toshiaki Nakazawa, Sadao Kurohashi:
Kyoto University Participation to WAT 2017. WAT@IJCNLP 2017: 146-153 - [c16]Fabien Cromierès, Toshiaki Nakazawa, Raj Dabre:
Neural Machine Translation: Basics, Practical Aspects and Recent Trends. IJCNLP (Tutorial Abstracts) 2017: 11-13 - [c15]Raj Dabre, Fabien Cromierès, Sadao Kurohashi:
Kyoto University MT System Description for IWSLT 2017. IWSLT 2017: 55-59 - [c14]Raj Dabre, Fabien Cromières, Sadao Kurohashi:
Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages. MTSummit (1) 2017: 96-107 - [c13]Raj Dabre, Tetsuji Nakagawa, Hideto Kazawa:
An Empirical Study of Language Relatedness for Transfer Learning in Neural Machine Translation. PACLIC 2017: 282-286 - [i3]Chenhui Chu, Raj Dabre, Sadao Kurohashi:
An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation. CoRR abs/1701.03214 (2017) - [i2]Raj Dabre, Fabien Cromierès, Sadao Kurohashi:
Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages. CoRR abs/1702.06135 (2017) - [i1]Raj Dabre, Sadao Kurohashi:
MMCR4NLP: Multilingual Multiway Corpora Repository for Natural Language Processing. CoRR abs/1710.01025 (2017) - 2016
- [c12]Chenhui Chu, Raj Dabre, Sadao Kurohashi:
Parallel Sentence Extraction from Comparable Corpora with Neural Network Features. LREC 2016 - [c11]Raj Dabre, Yevgeniy Puzikov, Fabien Cromierès, Sadao Kurohashi:
The Kyoto University Cross-Lingual Pronoun Translation System. WMT 2016: 571-575 - [c10]Diptesh Kanojia, Raj Dabre, Pushpak Bhattacharyya:
Sophisticated Lexical Databases - Simplified Usage: Mobile Applications and Browser Plugins For Wordnets. GWC 2016: 144-149 - 2015
- [c9]John Richardson, Raj Dabre, Chenhui Chu, Fabien Cromierès, Toshiaki Nakazawa, Sadao Kurohashi:
KyotoEBMT System Description for the 2nd Workshop on Asian Translation. WAT 2015: 54-60 - [c8]Rohit More, Anoop Kunchukuttan, Pushpak Bhattacharyya, Raj Dabre:
Augmenting Pivot based SMT with word segmentation. ICON 2015: 303-307 - [c7]Raj Dabre, Fabien Cromierès, Sadao Kurohashi, Pushpak Bhattacharyya:
Leveraging Small Multilingual Corpora for SMT Using Many Pivot Languages. HLT-NAACL 2015: 1192-1202 - [c6]Raj Dabre, Chenhui Chu, Fabien Cromierès, Toshiaki Nakazawa, Sadao Kurohashi:
Large-scale Dictionary Construction via Pivot-based Statistical Machine Translation with Significance Pruning and Neural Network Features. PACLIC 2015 - 2014
- [c5]Raj Dabre, Jyotesh Choudhari, Pushpak Bhattacharyya:
Tackling Close Cousins: Experiences In Developing Statistical Machine Translation Systems For Marathi And Hindi. ICON 2014: 11-19 - [c4]Raj Dabre, Aneerav Sukhoo, Pushpak Bhattacharyya:
Anou Tradir: Experiences In Building Statistical Machine Translation Systems For Mauritian Languages - Creole, English, French. ICON 2014: 82-88 - [c3]Diptesh Kanojia, Manish Shrivastava, Raj Dabre, Pushpak Bhattacharyya:
PaCMan : Parallel Corpus Management Workbench. ICON 2014: 162-166 - [c2]Diptesh Kanojia, Pushpak Bhattacharyya, Raj Dabre, Siddhartha Gunti, Manish Shrivastava:
Do not do processing, when you can look up: Towards a Discrimination Net for WSD. GWC 2014: 194-200 - 2012
- [c1]Raj Dabre, Archana Amberkar, Pushpak Bhattacharyya:
Morphological Analyzer for Affix Stacking Languages: A Case Study of Marathi. COLING (Posters) 2012: 225-234
Coauthor Index
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