Ankur Bapna

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 85

Top Topics

Machine Translation

Text Representation

Top Venues

Publications

Shikhar Bharadwaj, Min Ma, Shikhar Vashishth, Ankur Bapna, Sriram Ganapathy, Vera Axelrod, Siddharth Dalmia, Wei Han, Yu Zhang, Daan van Esch, Sandy Ritchie, Partha Talukdar, Jason Riesa
Multimodal Modeling for Spoken Language Identification. ICASSP (2024)
Shikhar Vashishth, Shikhar Bharadwaj, Sriram Ganapathy, Ankur Bapna, Min Ma, Wei Han, Vera Axelrod, Partha Talukdar
Label Aware Speech Representation Learning For Language Identification. CoRR (2023)
Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Michiel Bacchiani, Yu Zhang, Wei Han, Ankur Bapna
LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus. INTERSPEECH (2023)
Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Yu Zhang, Wei Han, Ankur Bapna, Michiel Bacchiani
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations. CoRR (2023)
Gary Wang, Kyle Kastner, Ankur Bapna, Zhehuai Chen, Andrew Rosenberg, Bhuvana Ramabhadran, Yu Zhang
Understanding Shared Speech-Text Representations. ICASSP (2023)
Yong Cheng, Yu Zhang, Melvin Johnson, Wolfgang Macherey, Ankur Bapna
SLAM: Multitask, Multilingual Speech and Language Models. ICML (2023)
Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Michiel Bacchiani, Yu Zhang, Wei Han, Ankur Bapna
LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus. CoRR (2023)
Shikhar Vashishth, Shikhar Bharadwaj, Sriram Ganapathy, Ankur Bapna, Min Ma, Wei Han, Vera Axelrod, Partha Talukdar
Label Aware Speech Representation Learning For Language Identification. INTERSPEECH (2023)
Paul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, Ankur Bapna, Zalán Borsos, Félix de Chaumont Quitry, Peter Chen, Dalia El Badawy, Wei Han, Eugene Kharitonov, Hannah Muckenhirn, Dirk Padfield, James Qin, Danny Rozenberg, Tara N. Sainath, Johan Schalkwyk, Matthew Sharifi, Michelle Tadmor Ramanovich, Marco Tagliasacchi, Alexandru Tudor, Mihajlo Velimirovic, Damien Vincent, Jiahui Yu, Yongqiang Wang, Vicky Zayats, Neil Zeghidour, Yu Zhang, Zhishuai Zhang, Lukas Zilka, Christian Havnø Frank
AudioPaLM: A Large Language Model That Can Speak and Listen. CoRR (2023)
Gary Wang, Kyle Kastner, Ankur Bapna, Zhehuai Chen, Andrew Rosenberg, Bhuvana Ramabhadran, Yu Zhang
Understanding Shared Speech-Text Representations. CoRR (2023)
Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Christopher A. Choquette-Choo, Katherine Lee, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset. CoRR (2023)
Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset. NeurIPS (2023)
Yang Yu, Matthew Perez, Ankur Bapna, Fadi Haik, Siamak Tazari, Yu Zhang
PronScribe: Highly Accurate Multimodal Phonemic Transcription From Speech and Text. INTERSPEECH (2023)
Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Yu Zhang, Wei Han, Ankur Bapna, Michiel Bacchiani
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations. WASPAA (2023)
Shikhar Bharadwaj, Min Ma, Shikhar Vashishth, Ankur Bapna, Sriram Ganapathy, Vera Axelrod, Siddharth Dalmia, Wei Han, Yu Zhang, Daan van Esch, Sandy Ritchie, Partha Talukdar, Jason Riesa
Multimodal Modeling For Spoken Language Identification. CoRR (2023)
Yu Zhang, Wei Han, James Qin, Yongqiang Wang, Ankur Bapna, Zhehuai Chen, Nanxin Chen, Bo Li, Vera Axelrod, Gary Wang, Zhong Meng, Ke Hu, Andrew Rosenberg, Rohit Prabhavalkar, Daniel S. Park, Parisa Haghani, Jason Riesa, Ginger Perng, Hagen Soltau, Trevor Strohman, Bhuvana Ramabhadran, Tara N. Sainath, Pedro J. Moreno, Chung-Cheng Chiu, Johan Schalkwyk, Françoise Beaufays, Yonghui Wu
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages. CoRR (2023)
Takaaki Saeki, Heiga Zen, Zhehuai Chen, Nobuyuki Morioka, Gary Wang, Yu Zhang, Ankur Bapna, Andrew Rosenberg, Bhuvana Ramabhadran
Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-to-Speech. ICASSP (2023)
Thibault Sellam, Ankur Bapna, Joshua Camp, Diana Mackinnon, Ankur P. Parikh, Jason Riesa
SQuId: Measuring Speech Naturalness in Many Languages. ICASSP (2023)
Biao Zhang, Ankur Bapna, Melvin Johnson, Ali Dabirmoghaddam, Naveen Arivazhagan, Orhan Firat
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents. ACL (1) (2022)
Zhehuai Chen, Ankur Bapna, Andrew Rosenberg, Yu Zhang, Bhuvana Ramabhadran, Pedro J. Moreno, Nanxin Chen
Maestro-U: Leveraging joint speech-text representation learning for zero supervised speech ASR. CoRR (2022)
Thibault Sellam, Ankur Bapna, Joshua Camp, Diana Mackinnon, Ankur P. Parikh, Jason Riesa
SQuId: Measuring Speech Naturalness in Many Languages. CoRR (2022)
Biao Zhang, Behrooz Ghorbani, Ankur Bapna, Yong Cheng, Xavier Garcia, Jonathan Shen, Orhan Firat
Examining Scaling and Transfer of Language Model Architectures for Machine Translation. ICML (2022)
Ye Jia, Yifan Ding, Ankur Bapna, Colin Cherry, Yu Zhang, Alexis Conneau, Nobuyuki Morioka
Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation. CoRR (2022)
Yong Cheng, Yu Zhang, Melvin Johnson, Wolfgang Macherey, Ankur Bapna
SLAM: Multitask, Multilingual Speech and Language Models. CoRR (2022)
Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath
Joint Unsupervised and Supervised Training for Multilingual ASR. ICASSP (2022)
Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan H. Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson
XTREME-S: Evaluating Cross-lingual Speech Representations. CoRR (2022)
Zhehuai Chen, Ankur Bapna, Andrew Rosenberg, Yu Zhang, Bhuvana Ramabhadran, Pedro J. Moreno, Nanxin Chen
Maestro-U: Leveraging Joint Speech-Text Representation Learning for Zero Supervised Speech ASR. SLT (2022)
Ye Jia, Yifan Ding, Ankur Bapna, Colin Cherry, Yu Zhang, Alexis Conneau, Nobu Morioka
Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation. INTERSPEECH (2022)
Alexis Conneau, Min Ma, Simran Khanuja, Yu Zhang, Vera Axelrod, Siddharth Dalmia, Jason Riesa, Clara Rivera, Ankur Bapna
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech. CoRR (2022)
Zhehuai Chen, Yu Zhang, Andrew Rosenberg, Bhuvana Ramabhadran, Pedro J. Moreno, Ankur Bapna, Heiga Zen
MAESTRO: Matched Speech Text Representations through Modality Matching. INTERSPEECH (2022)
Aditya Siddhant, Ankur Bapna, Orhan Firat, Yuan Cao, Mia Xu Chen, Isaac Caswell, Xavier Garcia
Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning. CoRR (2022)
Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan H. Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson
XTREME-S: Evaluating Cross-lingual Speech Representations. INTERSPEECH (2022)
Yong Cheng, Ankur Bapna, Orhan Firat, Yuan Cao, Pidong Wang, Wolfgang Macherey
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation. CoRR (2022)
Biao Zhang, Behrooz Ghorbani, Ankur Bapna, Yong Cheng, Xavier Garcia, Jonathan Shen, Orhan Firat
Examining Scaling and Transfer of Language Model Architectures for Machine Translation. CoRR (2022)
Yong Cheng, Ankur Bapna, Orhan Firat, Yuan Cao, Pidong Wang, Wolfgang Macherey
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation. ACL (1) (2022)
Behrooz Ghorbani, Orhan Firat, Markus Freitag, Ankur Bapna, Maxim Krikun, Xavier Garcia, Ciprian Chelba, Colin Cherry
Scaling Laws for Neural Machine Translation. ICLR (2022)
Ankur Bapna, Isaac Caswell, Julia Kreutzer, Orhan Firat, Daan van Esch, Aditya Siddhant, Mengmeng Niu, Pallavi Baljekar, Xavier Garcia, Wolfgang Macherey, Theresa Breiner, Vera Axelrod, Jason Riesa, Yuan Cao, Mia Xu Chen, Klaus Macherey, Maxim Krikun, Pidong Wang, Alexander Gutkin, Apurva Shah, Yanping Huang, Zhifeng Chen, Yonghui Wu, Macduff Hughes
Building Machine Translation Systems for the Next Thousand Languages. CoRR (2022)
Zhehuai Chen, Yu Zhang, Andrew Rosenberg, Bhuvana Ramabhadran, Pedro J. Moreno, Ankur Bapna, Heiga Zen
MAESTRO: Matched Speech Text Representations through Modality Matching. CoRR (2022)
Ankur Bapna, Colin Cherry, Yu Zhang, Ye Jia, Melvin Johnson, Yong Cheng, Simran Khanuja, Jason Riesa, Alexis Conneau
mSLAM: Massively multilingual joint pre-training for speech and text. CoRR (2022)
Takaaki Saeki, Heiga Zen, Zhehuai Chen, Nobuyuki Morioka, Gary Wang, Yu Zhang, Ankur Bapna, Andrew Rosenberg, Bhuvana Ramabhadran
Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-To-Speech. CoRR (2022)
Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman
JOIST: A Joint Speech and Text Streaming Model For ASR. CoRR (2022)
Alexis Conneau, Min Ma, Simran Khanuja, Yu Zhang, Vera Axelrod, Siddharth Dalmia, Jason Riesa, Clara Rivera, Ankur Bapna
FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech. SLT (2022)
Julia Kreutzer, Isaac Caswell, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, Monang Setyawan, Supheakmungkol Sarin, Sokhar Samb, Benoît Sagot, Clara Rivera, Annette Rios, Isabel Papadimitriou, Salomey Osei, Pedro Javier Ortiz Suárez, Iroro Orife, Kelechi Ogueji, Andre Niyongabo Rubungo, Toan Q. Nguyen, Mathias Müller, André Müller, Shamsuddeen Hassan Muhammad, Nanda Muhammad, Ayanda Mnyakeni, Jamshidbek Mirzakhalov, Tapiwanashe Matangira, Colin Leong, Nze Lawson, Sneha Kudugunta, Yacine Jernite, Mathias Jenny, Orhan Firat, Bonaventure F. P. Dossou, Sakhile Dlamini, Nisansa de Silva, Sakine Çabuk Balli, Stella Biderman, Alessia Battisti, Ahmed Baruwa, Ankur Bapna, Pallavi Baljekar, Israel Abebe Azime, Ayodele Awokoya, Duygu Ataman, Orevaoghene Ahia, Oghenefego Ahia, Sweta Agrawal, Mofetoluwa Adeyemi
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets. Trans. Assoc. Comput. Linguistics 10 (2022)
Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman
JOIST: A Joint Speech and Text Streaming Model for ASR. SLT (2022)
Biao Zhang, Ankur Bapna, Melvin Johnson, Ali Dabirmoghaddam, Naveen Arivazhagan, Orhan Firat
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents. CoRR (2021)
Behrooz Ghorbani, Orhan Firat, Markus Freitag, Ankur Bapna, Maxim Krikun, Xavier Garcia, Ciprian Chelba, Colin Cherry
Scaling Laws for Neural Machine Translation. CoRR (2021)
Sneha Kudugunta, Yanping Huang, Ankur Bapna, Maxim Krikun, Dmitry Lepikhin, Minh-Thang Luong, Orhan Firat
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference. EMNLP (Findings) (2021)
Xinyi Wang, Ankur Bapna, Melvin Johnson, Orhan Firat
Gradient-guided Loss Masking for Neural Machine Translation. CoRR (2021)
Ankur Bapna, Yu-An Chung, Nan Wu, Anmol Gulati, Ye Jia, Jonathan H. Clark, Melvin Johnson, Jason Riesa, Alexis Conneau, Yu Zhang
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training. CoRR (2021)
Isaac Caswell, Julia Kreutzer, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, Monang Setyawan, Supheakmungkol Sarin, Sokhar Samb, Benoît Sagot, Clara Rivera, Annette Rios, Isabel Papadimitriou, Salomey Osei, Pedro Javier Ortiz Suárez, Iroro Orife, Kelechi Ogueji, Rubungo Andre Niyongabo, Toan Q. Nguyen, Mathias Müller, André Müller, Shamsuddeen Hassan Muhammad, Nanda Muhammad, Ayanda Mnyakeni, Jamshidbek Mirzakhalov, Tapiwanashe Matangira, Colin Leong, Nze Lawson, Sneha Kudugunta, Yacine Jernite, Mathias Jenny, Orhan Firat, Bonaventure F. P. Dossou, Sakhile Dlamini, Nisansa de Silva, Sakine Çabuk Balli, Stella Biderman, Alessia Battisti, Ahmed Baruwa, Ankur Bapna, Pallavi Baljekar, Israel Abebe Azime, Ayodele Awokoya, Duygu Ataman, Orevaoghene Ahia, Oghenefego Ahia, Sweta Agrawal, Mofetoluwa Adeyemi
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets. CoRR (2021)
Sneha Kudugunta, Yanping Huang, Ankur Bapna, Maxim Krikun, Dmitry Lepikhin, Minh-Thang Luong, Orhan Firat
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference. CoRR (2021)
Biao Zhang, Ankur Bapna, Rico Sennrich, Orhan Firat
Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation. ICLR (2021)
Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath
Joint Unsupervised and Supervised Training for Multilingual ASR. CoRR (2021)
Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Ari, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation. AAAI (2020)
Isaac Caswell, Theresa Breiner, Daan van Esch, Ankur Bapna
Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus. COLING (2020)
Ankur Bapna, Naveen Arivazhagan, Orhan Firat
Controlling Computation versus Quality for Neural Sequence Models. CoRR (2020)
Ciprian Chelba, Mia Xu Chen, Ankur Bapna, Noam Shazeer
Faster Transformer Decoding: N-gram Masked Self-Attention. CoRR (2020)
Aditya Siddhant, Ankur Bapna, Yuan Cao, Orhan Firat, Mia Xu Chen, Sneha Reddy Kudugunta, Naveen Arivazhagan, Yonghui Wu
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation. ACL (2020)
Isaac Caswell, Theresa Breiner, Daan van Esch, Ankur Bapna
Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus. CoRR (2020)
Aditya Siddhant, Ankur Bapna, Yuan Cao, Orhan Firat, Mia Xu Chen, Sneha Reddy Kudugunta, Naveen Arivazhagan, Yonghui Wu
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation. CoRR (2020)
Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Dmitry Lepikhin, Melvin Johnson, Maxim Krikun, Mia Xu Chen, Yuan Cao, George F. Foster, Colin Cherry, Wolfgang Macherey, Zhifeng Chen, Yonghui Wu
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges. CoRR (2019)
Sébastien Jean, Ankur Bapna, Orhan Firat
Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural Machine Translation. CoRR (2019)
Ankur Bapna, Orhan Firat
Non-Parametric Adaptation for Neural Machine Translation. NAACL-HLT (1) (2019)
Anjuli Kannan, Arindrima Datta, Tara N. Sainath, Eugene Weinstein, Bhuvana Ramabhadran, Yonghui Wu, Ankur Bapna, Zhifeng Chen, Seungji Lee
Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model. CoRR (2019)
Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Roee Aharoni, Melvin Johnson, Wolfgang Macherey
The Missing Ingredient in Zero-Shot Neural Machine Translation. CoRR (2019)
Yanping Huang, Youlong Cheng, Ankur Bapna, Orhan Firat, Dehao Chen, Mia Xu Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Yonghui Wu, Zhifeng Chen
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism. NeurIPS (2019)
Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR (2019)
Ankur Bapna, Orhan Firat
Non-Parametric Adaptation for Neural Machine Translation. CoRR (2019)
Sneha Reddy Kudugunta, Ankur Bapna, Isaac Caswell, Orhan Firat
Investigating Multilingual NMT Representations at Scale. EMNLP/IJCNLP (1) (2019)
Ankur Bapna, Naveen Arivazhagan, Orhan Firat
Simple, Scalable Adaptation for Neural Machine Translation. CoRR (2019)
Anjuli Kannan, Arindrima Datta, Tara N. Sainath, Eugene Weinstein, Bhuvana Ramabhadran, Yonghui Wu, Ankur Bapna, Zhifeng Chen, Seungji Lee
Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model. INTERSPEECH (2019)
Sneha Reddy Kudugunta, Ankur Bapna, Isaac Caswell, Naveen Arivazhagan, Orhan Firat
Investigating Multilingual NMT Representations at Scale. CoRR (2019)
Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Arivazhagan, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation. CoRR (2019)
Ankur Bapna, Orhan Firat
Simple, Scalable Adaptation for Neural Machine Translation. EMNLP/IJCNLP (1) (2019)
Ankur Bapna, Mia Xu Chen, Orhan Firat, Yuan Cao, Yonghui Wu
Training Deeper Neural Machine Translation Models with Transparent Attention. CoRR (2018)
Ankur Bapna, Mia Xu Chen, Orhan Firat, Yuan Cao, Yonghui Wu
Training Deeper Neural Machine Translation Models with Transparent Attention. EMNLP (2018)
Colin Cherry, George F. Foster, Ankur Bapna, Orhan Firat, Wolfgang Macherey
Revisiting Character-Based Neural Machine Translation with Capacity and Compression. CoRR (2018)
Mia Xu Chen, Orhan Firat, Ankur Bapna, Melvin Johnson, Wolfgang Macherey, George F. Foster, Llion Jones, Niki Parmar, Mike Schuster, Zhifeng Chen, Yonghui Wu, Macduff Hughes
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation. CoRR (2018)
Pararth Shah, Dilek Hakkani-Tür, Gökhan Tür, Abhinav Rastogi, Ankur Bapna, Neha Nayak, Larry P. Heck
Building a Conversational Agent Overnight with Dialogue Self-Play. CoRR (2018)
Colin Cherry, George F. Foster, Ankur Bapna, Orhan Firat, Wolfgang Macherey
Revisiting Character-Based Neural Machine Translation with Capacity and Compression. EMNLP (2018)
Mia Xu Chen, Orhan Firat, Ankur Bapna, Melvin Johnson, Wolfgang Macherey, George F. Foster, Llion Jones, Mike Schuster, Noam Shazeer, Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Zhifeng Chen, Yonghui Wu, Macduff Hughes
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation. ACL (1) (2018)
Ankur Bapna, Gökhan Tür, Dilek Hakkani-Tür, Larry P. Heck
Towards Zero-Shot Frame Semantic Parsing for Domain Scaling. INTERSPEECH (2017)
Ankur Bapna, Gökhan Tür, Dilek Hakkani-Tür, Larry P. Heck
Improving Frame Semantic Parsing with Hierarchical Dialogue Encoders. CoRR (2017)
Ankur Bapna, Gökhan Tür, Dilek Hakkani-Tür, Larry P. Heck
Towards Zero-Shot Frame Semantic Parsing for Domain Scaling. CoRR (2017)
Ankur Bapna, Gökhan Tür, Dilek Hakkani-Tür, Larry P. Heck
Sequential Dialogue Context Modeling for Spoken Language Understanding. SIGDIAL Conference (2017)