Raj Dabre

According to our database, Raj Dabre authored at least 100 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese.

Meet Doshi, Raj Dabre, Pushpak Bhattacharyya

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

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

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

MOS-FAD: Improving Fake Audio Detection Via Automatic Mean Opinion Score Prediction.

Wangjin Zhou, Zhengdong Yang, Chenhui Chu, Sheng Li, Raj Dabre, Yi Zhao, Tatsuya Kawahara

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

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

Natural Language Processing for Dialects of a Language: A Survey.

Aditya Joshi, Raj Dabre, Diptesh Kanojia, Zhuang Li, Haolan Zhan, Gholamreza Haffari, Doris Dippold

CoRR, 2024

A Comprehensive Analysis of Adapter Efficiency.

Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

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., August, 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

Bilingual Corpus Mining and Multistage Fine-Tuning for Improving Machine Translation of Lecture Transcripts.

Haiyue Song, Raj Dabre, Chenhui Chu, Atsushi Fujita, Sadao Kurohashi

CoRR, 2023

CreoleVal: Multilingual Multitask Benchmarks for Creoles.

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

CoRR, 2023

Turning Whisper into Real-Time Transcription System.

Dominik Machácek, Raj Dabre, Ondrej Bojar

CoRR, 2023

IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages.

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

CoRR, 2023

In-context Example Selection for Machine Translation Using Multiple Features.

Aswanth Kumar, Anoop Kunchukuttan, Ratish Puduppully, Raj Dabre

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

Variable-length Neural Interlingua Representations for Zero-shot Neural Machine Translation.

Zhuoyuan Mao, Haiyue Song, Raj Dabre, Chenhui Chu, Sadao Kurohashi

CoRR, 2023

NICT-AI4B's Submission to the Indic MT Shared Task in WMT 2023.

Raj Dabre, Jay P. Gala, Pranjal A. Chitale

Proceedings of the Eighth Conference on Machine Translation, 2023

MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation.

Dominik Machácek, Ondrej Bojar, Raj Dabre

Proceedings of the 20th International Conference on Spoken Language Translation, 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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation.

Aswanth M, Ratish Puduppully, Raj Dabre, Anoop Kunchukuttan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models.

Varun Gumma, Raj Dabre, Pratyush Kumar

Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Robustness of Multi-Source MT to Transcription Errors.

Dominik Machácek, Peter Polak, Ondrej Bojar, Raj Dabre

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

YANMTT: Yet Another Neural Machine Translation Toolkit.

Raj Dabre, Diptesh Kanojia, Chinmay Sawant, Eiichiro Sumita

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning.

Zhishen Yang, Raj Dabre, Hideki Tanaka, Naoaki Okazaki

Proceedings of the Workshop on Scientific Document Understanding co-located with 37th AAAI Conference on Artificial Inteligence (AAAI 2023), 2023

2022

MorisienMT: A Dataset for Mauritian Creole Machine Translation.

Raj Dabre, Aneerav Sukhoo

CoRR, 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

NICT at MixMT 2022: Synthetic Code-Mixed Pre-training and Multi-way Fine-tuning for Hinglish-English Translation.

Raj Dabre

Proceedings of the Seventh Conference on Machine Translation, 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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Fusion of Self-supervised Learned Models for MOS Prediction.

Zhengdong Yang, Wangjin Zhou, Chenhui Chu, Sheng Li, Raj Dabre, Raphael Rubino, Yi Zhao

Proceedings of the Interspeech 2022, 2022

BERTSeg: BERT Based Unsupervised Subword Segmentation for Neural Machine Translation.

Haiyue Song, Raj Dabre, Zhuoyuan Mao, Chenhui Chu, Sadao Kurohashi

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

KreolMorisienMT: A Dataset for Mauritian Creole Machine Translation.

Raj Dabre, Aneerav Sukhoo

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 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

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 29th International Conference on Computational Linguistics, 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, Yusuke Oda, Sadao Kurohashi

Proceedings of the 9th Workshop on Asian Translation, 2022

NICT's Submission to the WAT 2022 Structured Document Translation Task.

Raj Dabre

Proceedings of the 9th Workshop on Asian Translation, 2022

IndicBART: A Pre-trained Model for Indic Natural Language Generation.

Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

A Survey of Multilingual Neural Machine Translation.

Raj Dabre, Chenhui Chu, Anoop Kunchukuttan

ACM Comput. Surv., 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

YANMTT: Yet Another Neural Machine Translation Toolkit.

Raj Dabre, Eiichiro Sumita

CoRR, 2021

Recurrent Stacking of Layers in Neural Networks: An Application to Neural Machine Translation.

Raj Dabre, Atsushi Fujita

CoRR, 2021

Simultaneous Multi-Pivot Neural Machine Translation.

Raj Dabre, Aizhan Imankulova, Masahiro Kaneko, Abhisek Chakrabarty

CoRR, 2021

Studying The Impact Of Document-level Context On Simultaneous Neural Machine Translation.

Raj Dabre, Aizhan Imankulova, Masahiro Kaneko

Proceedings of the 18th Biennial Machine Translation Summit - Volume 1: Research Track, 2021

Investigating Softmax Tempering for Training Neural Machine Translation Models.

Raj Dabre, Atsushi Fujita

Proceedings of the 18th Biennial Machine Translation Summit - Volume 1: Research Track, 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, Akiko Eriguchi, Kaori Abe, Yusuke Oda, Sadao Kurohashi

Proceedings of the 8th Workshop on Asian Translation, 2021

NICT-5's Submission To WAT 2021: MBART Pre-training And In-Domain Fine Tuning For Indic Languages.

Raj Dabre, Abhisek Chakrabarty

Proceedings of the 8th Workshop on Asian Translation, 2021

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

Softmax Tempering for Training Neural Machine Translation Models.

Raj Dabre, Atsushi Fujita

CoRR, 2020

Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation.

Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita

CoRR, 2020

A Comprehensive Survey of Multilingual Neural Machine Translation.

Raj Dabre, Chenhui Chu, Anoop Kunchukuttan

CoRR, 2020

Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models.

Raj Dabre, Atsushi Fujita

Proceedings of the Fifth Conference on Machine Translation, 2020

Joint Training End-to-End Speech Recognition Systems with Speaker Attributes.

Sheng Li, Xugang Lu, Raj Dabre, Peng Shen, Hisashi Kawai

Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation.

Haiyue Song, Raj Dabre, Atsushi Fujita, Sadao Kurohashi

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation.

Zhuoyuan Mao, Fabien Cromierès, Raj Dabre, Haiyue Song, Sadao Kurohashi

Proceedings of The 12th Language Resources and Evaluation Conference, 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

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Multilingual Neural Machine Translation.

Raj Dabre, Chenhui Chu, Anoop Kunchukuttan

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation.

Abhisek Chakrabarty, Raj Dabre, Chenchen Ding, Masao Utiyama, Eiichiro Sumita

Proceedings of the 28th International Conference on Computational Linguistics, 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

Proceedings of the 7th Workshop on Asian Translation, 2020

NICT's Submission To WAT 2020: How Effective Are Simple Many-To-Many Neural Machine Translation Models?

Raj Dabre, Abhisek Chakrabarty

Proceedings of the 7th Workshop on Asian Translation, 2020

Balancing Cost and Benefit with Tied-Multi Transformers.

Raj Dabre, Raphael Rubino, Atsushi Fujita

Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

Pre-training via Leveraging Assisting Languages for Neural Machine Translation.

Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

2019

Multi-Layer Softmaxing during Training Neural Machine Translation for Flexible Decoding with Fewer Layers.

Raj Dabre, Atsushi Fujita

CoRR, 2019

Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation.

Chenhui Chu, Raj Dabre

CoRR, 2019

NICT's Machine Translation Systems for the WMT19 Similar Language Translation Task.

Benjamin Marie, Raj Dabre, Atsushi Fujita

Proceedings of the Fourth Conference on Machine Translation, 2019

NICT's Supervised Neural Machine Translation Systems for the WMT19 Translation Robustness Task.

Raj Dabre, Eiichiro Sumita

Proceedings of the Fourth Conference on Machine Translation, 2019

NICT's Supervised Neural Machine Translation Systems for the WMT19 News Translation Task.

Raj Dabre, Kehai Chen, Benjamin Marie, Rui Wang, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita

Proceedings of the Fourth Conference on Machine Translation, 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

Proceedings of Machine Translation Summit XVII Volume 1: Research Track, 2019

Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation.

Sheng Li, Raj Dabre, Xugang Lu, Peng Shen, Tatsuya Kawahara, Hisashi Kawai

Proceedings of the Interspeech 2019, 2019

Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation.

Raj Dabre, Atsushi Fujita, Chenhui Chu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 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

Proceedings of the 6th Workshop on Asian Translation, 2019

NICT's participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT.

Raj Dabre, Eiichiro Sumita

Proceedings of the 6th Workshop on Asian Translation, 2019

Recurrent Stacking of Layers for Compact Neural Machine Translation Models.

Raj Dabre, Atsushi Fujita

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Exploiting Multilingual Corpora Simply and Efficiently in Neural Machine Translation.

Raj Dabre, Fabien Cromierès, Sadao Kurohashi

J. Inf. Process., 2018

A Comprehensive Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation.

Chenhui Chu, Raj Dabre, Sadao Kurohashi

J. Inf. Process., 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

Proceedings of the 32nd Pacific Asia Conference on Language, 2018

NICT's Participation in WAT 2018: Approaches Using Multilingualism and Recurrently Stacked Layers.

Raj Dabre, Anoop Kunchukuttan, Atsushi Fujita, Eiichiro Sumita

Proceedings of the 32nd Pacific Asia Conference on Language, 2018

2017

MMCR4NLP: Multilingual Multiway Corpora Repository for Natural Language Processing.

Raj Dabre, Sadao Kurohashi

CoRR, 2017

An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation.

Chenhui Chu, Raj Dabre, Sadao Kurohashi

CoRR, 2017

An Empirical Study of Language Relatedness for Transfer Learning in Neural Machine Translation.

Raj Dabre, Tetsuji Nakagawa, Hideto Kazawa

Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation, 2017

Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages.

Raj Dabre, Fabien Cromières, Sadao Kurohashi

Proceedings of Machine Translation Summit XVI, Volume 1: Research Track, 2017

Kyoto University MT System Description for IWSLT 2017.

Raj Dabre, Fabien Cromierès, Sadao Kurohashi

Proceedings of the 14th International Conference on Spoken Language Translation, 2017

Neural Machine Translation: Basics, Practical Aspects and Recent Trends.

Fabien Cromierès, Toshiaki Nakazawa, Raj Dabre

Proceedings of the IJCNLP 2017, Taipei, Taiwan, November 27, 2017

Kyoto University Participation to WAT 2017.

Fabien Cromierès, Raj Dabre, Toshiaki Nakazawa, Sadao Kurohashi

Proceedings of the 4th Workshop on Asian Translation, 2017

An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation.

Chenhui Chu, Raj Dabre, Sadao Kurohashi

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Sophisticated Lexical Databases - Simplified Usage: Mobile Applications and Browser Plugins For Wordnets.

Diptesh Kanojia, Raj Dabre, Pushpak Bhattacharyya

Proceedings of the 8th Global WordNet Conference, 2016

The Kyoto University Cross-Lingual Pronoun Translation System.

Raj Dabre, Yevgeniy Puzikov, Fabien Cromierès, Sadao Kurohashi

Proceedings of the First Conference on Machine Translation, 2016

Parallel Sentence Extraction from Comparable Corpora with Neural Network Features.

Chenhui Chu, Raj Dabre, Sadao Kurohashi

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

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

Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation, 2015

Leveraging Small Multilingual Corpora for SMT Using Many Pivot Languages.

Raj Dabre, Fabien Cromierès, Sadao Kurohashi, Pushpak Bhattacharyya

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Augmenting Pivot based SMT with word segmentation.

Rohit More, Anoop Kunchukuttan, Pushpak Bhattacharyya, Raj Dabre

Proceedings of the 12th International Conference on Natural Language Processing, 2015

KyotoEBMT System Description for the 2nd Workshop on Asian Translation.

John Richardson, Raj Dabre, Chenhui Chu, Fabien Cromierès, Toshiaki Nakazawa, Sadao Kurohashi

Proceedings of the 2nd Workshop on Asian Translation, 2015

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

Proceedings of the Seventh Global Wordnet Conference, 2014

PaCMan : Parallel Corpus Management Workbench.

Diptesh Kanojia, Manish Shrivastava, Raj Dabre, Pushpak Bhattacharyya

Proceedings of the 11th International Conference on Natural Language Processing, 2014

Anou Tradir: Experiences In Building Statistical Machine Translation Systems For Mauritian Languages - Creole, English, French.

Raj Dabre, Aneerav Sukhoo, Pushpak Bhattacharyya

Proceedings of the 11th International Conference on Natural Language Processing, 2014

Tackling Close Cousins: Experiences In Developing Statistical Machine Translation Systems For Marathi And Hindi.

Raj Dabre, Jyotesh Choudhari, Pushpak Bhattacharyya

Proceedings of the 11th International Conference on Natural Language Processing, 2014

2012

Morphological Analyzer for Affix Stacking Languages: A Case Study of Marathi.

Raj Dabre, Archana Amberkar, Pushpak Bhattacharyya

Proceedings of the COLING 2012, 2012