Raj Dabre

发表

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

Atsushi Fujita, Raj Dabre, 2020, WMT@EMNLP.

Pre-training via Leveraging Assisting Languages for Neural Machine Translation

Eiichiro Sumita, Sadao Kurohashi, Raj Dabre, 2020, ACL.

An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation

Chenhui Chu, Sadao Kurohashi, Raj Dabre, 2017, ACL.

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

Eiichiro Sumita, Raj Dabre, 2019, WAT@EMNLP-IJCNLP.

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

Pushpak Bhattacharyya, Raj Dabre, Jyotesh Choudhari, 2014, ICON.

Parallel Sentence Extraction from Comparable Corpora with Neural Network Features

Chenhui Chu, Sadao Kurohashi, Raj Dabre, 2016, LREC.

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

Hisashi Kawai, Raj Dabre, Sheng Li, 2020 .

A Brief Survey of Multilingual Neural Machine Translation.

Chenhui Chu, Raj Dabre, Anoop Kunchukuttan, 2019 .

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

Pushpak Bhattacharyya, Raj Dabre, Aneerav Sukhoo, 2014, ICON.

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

Eiichiro Sumita, Raj Dabre, 2019, WMT.

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

Sadao Kurohashi, Raj Dabre, Haiyue Song, 2019, LREC.

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

Masao Utiyama, Eiichiro Sumita, Kehai Chen, 2019, WMT.

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

Sadao Kurohashi, Raj Dabre, Haiyue Song, 2020, LREC.

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

Raj Dabre, Atsushi Fujita, 2019, ArXiv.

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

Sadao Kurohashi, Raj Dabre, Fabien Cromierès, 2017, MTSUMMIT.

Large-scale Dictionary Construction via Pivot-based Statistical Machine Translation with Significance Pruning and Neural Network Features

Chenhui Chu, Sadao Kurohashi, Raj Dabre, 2015, PACLIC.

A Comprehensive Survey of Multilingual Neural Machine Translation pdf

Chenhui Chu, Raj Dabre, Anoop Kunchukuttan, 2020, ArXiv.

Investigating Softmax Tempering for Training Neural Machine Translation Models pdf

Atsushi Fujita, Raj Dabre, Atsushi Fujita, 2020, MTSUMMIT.

Neural Machine Translation: Basics, Practical Aspects and Recent Trends

Raj Dabre, Toshiaki Nakazawa, Fabien Cromierès, 2017, IJCNLP.

Do not do processing, when you can look up: Towards a Discrimination Net for WSD

Pushpak Bhattacharyya, Raj Dabre, Manish Shrivastava, 2014, GWC.

Multilingual Neural Machine Translation

Chenhui Chu, Raj Dabre, Anoop Kunchukuttan, 2020, COLING.

Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation pdf

Raj Dabre, Kenji Imamura, Atsushi Fujita, 2019, MTSummit.

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

Tetsuji Nakagawa, Raj Dabre, Hideto Kazawa, 2017, PACLIC.

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

Raj Dabre, Abhisek Chakrabarty, A. Chakrabarty, 2020, WAT.

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

Raj Dabre, Atsushi Fujita, Atsushi Fujita, 2019, EMNLP.

MMCR4NLP: Multilingual Multiway Corpora Repository for Natural Language Processing pdf

Sadao Kurohashi, Raj Dabre, 2017, ArXiv.

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

Chenhui Chu, Sadao Kurohashi, Raj Dabre, 2017, ArXiv.

Exploiting Multilingual Corpora Simply and Efficiently in Neural Machine Translation

Sadao Kurohashi, Raj Dabre, Fabien Cromierès, 2018, J. Inf. Process..

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

Chenhui Chu, Sadao Kurohashi, Raj Dabre, 2018, J. Inf. Process..

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

Benjamin Marie, Raj Dabre, Atsushi Fujita, 2019, WMT.

Leveraging Small Multilingual Corpora for SMT Using Many Pivot Languages

Pushpak Bhattacharyya, Sadao Kurohashi, Raj Dabre, 2015, NAACL.

A Survey of Multilingual Neural Machine Translation

Chenhui Chu, Raj Dabre, Anoop Kunchukuttan, 2019, ACM Comput. Surv..

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

Eiichiro Sumita, Sadao Kurohashi, Raj Dabre, 2020, ArXiv.

Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation

Masao Utiyama, Eiichiro Sumita, Raj Dabre, 2020, COLING.

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

Eiichiro Sumita, Raj Dabre, Anoop Kunchukuttan, 2018, PACLIC.

PaCMan : Parallel Corpus Management Workbench

Pushpak Bhattacharyya, Raj Dabre, Manish Shrivastava, 2014, ICON.

Augmenting Pivot based SMT with word segmentation

Pushpak Bhattacharyya, Raj Dabre, Anoop Kunchukuttan, 2015, ICON.

Kyoto University Participation to WAT 2017

Sadao Kurohashi, Raj Dabre, Toshiaki Nakazawa, 2017, WAT@IJCNLP.

Balancing Cost and Benefit with Tied-Multi Transformers

Raphael Rubino, Raj Dabre, Atsushi Fujita, 2020, NGT.

The Kyoto University Cross-Lingual Pronoun Translation System

Yevgeniy Puzikov, Sadao Kurohashi, Raj Dabre, 2016, WMT.

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

Pushpak Bhattacharyya, Raj Dabre, Archana Amberkar, 2012, COLING.

Recurrent Stacking of Layers for Compact Neural Machine Translation Models pdf

Atsushi Fujita, Raj Dabre, Atsushi Fujita, 2018, AAAI.

Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages

Gholamreza Haffari, Pushpak Bhattacharyya, Raj Dabre, 2020, COLING.

Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation pdf

Chenhui Chu, Raj Dabre, Chenhui Chu, 2019, ArXiv.

Overview of the 7th Workshop on Asian Translation

Isao Goto, Sadao Kurohashi, Raj Dabre, 2020, WAT@AAC/IJCNLPL.

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

Atsushi Fujita, Raj Dabre, 2021, ArXiv.

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

Raj Dabre, Masahiro Kaneko, Aizhan Imankulova, 2021, MTSUMMIT.

Simultaneous Multi-Pivot Neural Machine Translation pdf

Raj Dabre, Masahiro Kaneko, Abhisek Chakrabarty, 2021, ArXiv.

IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages pdf

Mitesh M. Khapra, Raj Dabre, Anoop Kunchukuttan, 2021, ArXiv.

YANMTT: Yet Another Neural Machine Translation Toolkit pdf

Eiichiro Sumita, Raj Dabre, E. Sumita, 2021, ACL.

Overview of the 8th Workshop on Asian Translation

Chenhui Chu, Akiko Eriguchi, Sadao Kurohashi, 2021, WAT.

Overview of the 7th Workshop on Asian Translation

Isao Goto, Sadao Kurohashi, Raj Dabre, 2020, WAT.

KyotoEBMT System Description for the 2nd Workshop on Asian Translation

Chenhui Chu, Sadao Kurohashi, Raj Dabre, 2015, WAT.

Multilingual and Multi-Domain Adaptation for Neural Machine Translation

Chenhui Chu, Raj Dabre, 2018 .