Akiko Eriguchi

According to our database, Akiko Eriguchi authored at least 22 papers between 2013 and 2024.

Collaborative distances:

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

2024

Adapters for Altering LLM Vocabularies: What Languages Benefit the Most?

HyoJung Han, Akiko Eriguchi, Haoran Xu, Hieu Hoang, Marine Carpuat, Huda Khayrallah

CoRR, 2024

X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale.

Haoran Xu, Kenton Murray, Philipp Koehn, Hieu Hoang, Akiko Eriguchi, Huda Khayrallah

CoRR, 2024

2022

Building Multilingual Machine Translation Systems That Serve Arbitrary X-Y Translations.

Akiko Eriguchi, Shufang Xie, Tao Qin, Hany Hassan Awadalla

CoRR, 2022

Building Multilingual Machine Translation Systems That Serve Arbitrary XY Translations.

Akiko Eriguchi, Shufang Xie, Tao Qin, Hany Hassan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

2021

Improving Multilingual Translation by Representation and Gradient Regularization.

Yilin Yang, Akiko Eriguchi, Alexandre Muzio, Prasad Tadepalli, Stefan Lee, Hany Hassan

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 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

2020

Parallelizing and optimizing neural Encoder-Decoder models without padding on multi-core architecture.

Yuchen Qiao, Kazuma Hashimoto, Akiko Eriguchi, Haixia Wang, Dongsheng Wang, Yoshimasa Tsuruoka, Kenjiro Taura

Future Gener. Comput. Syst., 2020

XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders.

Shuming Ma, Jian Yang, Haoyang Huang, Zewen Chi, Li Dong, Dongdong Zhang, Hany Hassan Awadalla, Alexandre Muzio, Akiko Eriguchi, Saksham Singhal, Xia Song, Arul Menezes, Furu Wei

CoRR, 2020

Neural Text Generation with Artificial Negative Examples.

Keisuke Shirai, Kazuma Hashimoto, Akiko Eriguchi, Takashi Ninomiya, Shinsuke Mori

CoRR, 2020

2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.

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

CoRR, 2019

Incorporating Source-Side Phrase Structures into Neural Machine Translation.

Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka

Comput. Linguistics, 2019

Combining Translation Memory with Neural Machine Translation.

Akiko Eriguchi, Spencer Rarrick, Hitokazu Matsushita

Proceedings of the 6th Workshop on Asian Translation, 2019

2018

Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation.

Akiko Eriguchi, Melvin Johnson, Orhan Firat, Hideto Kazawa, Wolfgang Macherey

CoRR, 2018

Multilingual Extractive Reading Comprehension by Runtime Machine Translation.

Akari Asai, Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka

CoRR, 2018

2017

Cache Friendly Parallelization of Neural Encoder-Decoder Models Without Padding on Multi-core Architecture.

Yuchen Qiao, Kazuma Hashimoto, Akiko Eriguchi, Haixia Wang, Dongsheng Wang, Yoshimasa Tsuruoka, Kenjiro Taura

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Learning to Parse and Translate Improves Neural Machine Translation.

Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho

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

2016

Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation.

Kazuma Hashimoto, Akiko Eriguchi, Yoshimasa Tsuruoka

Proceedings of the 3rd Workshop on Asian Translation, 2016

Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation.

Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka

Proceedings of the 3rd Workshop on Asian Translation, 2016

Tree-to-Sequence Attentional Neural Machine Translation.

Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2014

Label Propagation for Text Classification Using Latent Topics.

Akiko Eriguchi, Ichiro Kobayashi

J. Adv. Comput. Intell. Intell. Informatics, 2014

2013

High-quality Training Data Selection using Latent Topics for Graph-based Semi-supervised Learning.

Akiko Eriguchi, Ichiro Kobayashi

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013